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You searched for +publisher:"Delft University of Technology" +contributor:("Tintarev, Nava"). Showing records 1 – 20 of 20 total matches.

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Delft University of Technology

1. Lu, Feng (author). Enhancing the Diversity Adjusting Strategy with Personality Information in Music Recommender Systems.

Degree: 2018, Delft University of Technology

 Current research on personality and diversity based Recommender Systems (RecSys) are mostly separated. In most diversity-based Recommender Systems, researchers usually endeavored to achieve an optimal… (more)

Subjects/Keywords: Recommender Systems; Diversity; Personality; Re-ranking; Music Recommendation

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APA (6th Edition):

Lu, F. (. (2018). Enhancing the Diversity Adjusting Strategy with Personality Information in Music Recommender Systems. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0a6bd5ab-b650-4707-a707-6603248d6ec4

Chicago Manual of Style (16th Edition):

Lu, Feng (author). “Enhancing the Diversity Adjusting Strategy with Personality Information in Music Recommender Systems.” 2018. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:0a6bd5ab-b650-4707-a707-6603248d6ec4.

MLA Handbook (7th Edition):

Lu, Feng (author). “Enhancing the Diversity Adjusting Strategy with Personality Information in Music Recommender Systems.” 2018. Web. 30 Nov 2020.

Vancouver:

Lu F(. Enhancing the Diversity Adjusting Strategy with Personality Information in Music Recommender Systems. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:0a6bd5ab-b650-4707-a707-6603248d6ec4.

Council of Science Editors:

Lu F(. Enhancing the Diversity Adjusting Strategy with Personality Information in Music Recommender Systems. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:0a6bd5ab-b650-4707-a707-6603248d6ec4


Delft University of Technology

2. Kreuk, Laura (author). Sentiment Analysis: a comparison of feature sets for social data and reviews.

Degree: 2018, Delft University of Technology

Consumers share their experiences or opinion about products or brands in various channels nowadays, for example on review websites or social media. Sentiment analysis is… (more)

Subjects/Keywords: Sentiment Analysis; feature extraction; reviews; social data

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APA (6th Edition):

Kreuk, L. (. (2018). Sentiment Analysis: a comparison of feature sets for social data and reviews. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:eca6e7b5-a846-424b-ba44-84c060c29d97

Chicago Manual of Style (16th Edition):

Kreuk, Laura (author). “Sentiment Analysis: a comparison of feature sets for social data and reviews.” 2018. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:eca6e7b5-a846-424b-ba44-84c060c29d97.

MLA Handbook (7th Edition):

Kreuk, Laura (author). “Sentiment Analysis: a comparison of feature sets for social data and reviews.” 2018. Web. 30 Nov 2020.

Vancouver:

Kreuk L(. Sentiment Analysis: a comparison of feature sets for social data and reviews. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:eca6e7b5-a846-424b-ba44-84c060c29d97.

Council of Science Editors:

Kreuk L(. Sentiment Analysis: a comparison of feature sets for social data and reviews. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:eca6e7b5-a846-424b-ba44-84c060c29d97


Delft University of Technology

3. Roy, Nirmal (author). Word Embedding Models for Query Expansion in Answer Passage Retrieval.

Degree: 2019, Delft University of Technology

With the increasing popularity of mobile and voice-assisted, extracting short and precise answer passages to open-domain questions is becoming an increasingly important information retrieval (IR)… (more)

Subjects/Keywords: Word embedding; Query Expansion; Question Answering; Information Retrieval

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APA (6th Edition):

Roy, N. (. (2019). Word Embedding Models for Query Expansion in Answer Passage Retrieval. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:3152697f-eacc-42dc-a686-33948fd5ea3a

Chicago Manual of Style (16th Edition):

Roy, Nirmal (author). “Word Embedding Models for Query Expansion in Answer Passage Retrieval.” 2019. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:3152697f-eacc-42dc-a686-33948fd5ea3a.

MLA Handbook (7th Edition):

Roy, Nirmal (author). “Word Embedding Models for Query Expansion in Answer Passage Retrieval.” 2019. Web. 30 Nov 2020.

Vancouver:

Roy N(. Word Embedding Models for Query Expansion in Answer Passage Retrieval. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:3152697f-eacc-42dc-a686-33948fd5ea3a.

Council of Science Editors:

Roy N(. Word Embedding Models for Query Expansion in Answer Passage Retrieval. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:3152697f-eacc-42dc-a686-33948fd5ea3a


Delft University of Technology

4. Yeh, Chia-Lun (author). Using Publisher Partisanship for Partisan News Detection: A Comparison of Performance between Annotation Levels.

Degree: 2019, Delft University of Technology

News is the main source of information about events in our neighborhood and around the globe. In an era of digital news, where sources vary… (more)

Subjects/Keywords: machine learning; news media; label noise

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APA (6th Edition):

Yeh, C. (. (2019). Using Publisher Partisanship for Partisan News Detection: A Comparison of Performance between Annotation Levels. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:027be3f5-1bb4-4727-8030-3d610bd508ff

Chicago Manual of Style (16th Edition):

Yeh, Chia-Lun (author). “Using Publisher Partisanship for Partisan News Detection: A Comparison of Performance between Annotation Levels.” 2019. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:027be3f5-1bb4-4727-8030-3d610bd508ff.

MLA Handbook (7th Edition):

Yeh, Chia-Lun (author). “Using Publisher Partisanship for Partisan News Detection: A Comparison of Performance between Annotation Levels.” 2019. Web. 30 Nov 2020.

Vancouver:

Yeh C(. Using Publisher Partisanship for Partisan News Detection: A Comparison of Performance between Annotation Levels. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:027be3f5-1bb4-4727-8030-3d610bd508ff.

Council of Science Editors:

Yeh C(. Using Publisher Partisanship for Partisan News Detection: A Comparison of Performance between Annotation Levels. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:027be3f5-1bb4-4727-8030-3d610bd508ff


Delft University of Technology

5. Urumovska, Bojana (author). From log files to train traffic reports : Using Natural Language Generation to explain anomalies from Train Control System log files.

Degree: 2019, Delft University of Technology

 The Natural Language Generation field has advanced in generating human readable reports for domain experts in various fields. Nevertheless, Natural Language Generation and anomaly detection… (more)

Subjects/Keywords: Natural Language Generation; Anomaly Detection; Log Files; Rail Domain

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APA (6th Edition):

Urumovska, B. (. (2019). From log files to train traffic reports : Using Natural Language Generation to explain anomalies from Train Control System log files. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:bdfb4f06-adcd-4a7c-bf63-035f92f72efb

Chicago Manual of Style (16th Edition):

Urumovska, Bojana (author). “From log files to train traffic reports : Using Natural Language Generation to explain anomalies from Train Control System log files.” 2019. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:bdfb4f06-adcd-4a7c-bf63-035f92f72efb.

MLA Handbook (7th Edition):

Urumovska, Bojana (author). “From log files to train traffic reports : Using Natural Language Generation to explain anomalies from Train Control System log files.” 2019. Web. 30 Nov 2020.

Vancouver:

Urumovska B(. From log files to train traffic reports : Using Natural Language Generation to explain anomalies from Train Control System log files. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:bdfb4f06-adcd-4a7c-bf63-035f92f72efb.

Council of Science Editors:

Urumovska B(. From log files to train traffic reports : Using Natural Language Generation to explain anomalies from Train Control System log files. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:bdfb4f06-adcd-4a7c-bf63-035f92f72efb


Delft University of Technology

6. Shastry, Aishwarya (author). Understanding the relationship between user emotion and latent musical features.

Degree: 2019, Delft University of Technology

With the advent of Internet and resulting data boom, Recommender Systems have come to rescue by filtering the information available on the internet by providing… (more)

Subjects/Keywords: Music recommender; Emotion; Musical features

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shastry, A. (. (2019). Understanding the relationship between user emotion and latent musical features. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:06248c28-894a-4c69-9978-d2982a35fc9a

Chicago Manual of Style (16th Edition):

Shastry, Aishwarya (author). “Understanding the relationship between user emotion and latent musical features.” 2019. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:06248c28-894a-4c69-9978-d2982a35fc9a.

MLA Handbook (7th Edition):

Shastry, Aishwarya (author). “Understanding the relationship between user emotion and latent musical features.” 2019. Web. 30 Nov 2020.

Vancouver:

Shastry A(. Understanding the relationship between user emotion and latent musical features. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:06248c28-894a-4c69-9978-d2982a35fc9a.

Council of Science Editors:

Shastry A(. Understanding the relationship between user emotion and latent musical features. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:06248c28-894a-4c69-9978-d2982a35fc9a


Delft University of Technology

7. Prajod, Pooja (author). Affect expression in social robots: Combining non-verbal affect expression techniques.

Degree: 2019, Delft University of Technology

 With the advent of social robots which are designed to be 'social', human-like interactions have become a necessity. It is natural for us to use… (more)

Subjects/Keywords: Social Robotics; Emotions; Non-verbal; Parametric model; Valence-Arousal

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APA (6th Edition):

Prajod, P. (. (2019). Affect expression in social robots: Combining non-verbal affect expression techniques. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:26ed61ee-8bd6-4571-b529-45c7a94a6b2c

Chicago Manual of Style (16th Edition):

Prajod, Pooja (author). “Affect expression in social robots: Combining non-verbal affect expression techniques.” 2019. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:26ed61ee-8bd6-4571-b529-45c7a94a6b2c.

MLA Handbook (7th Edition):

Prajod, Pooja (author). “Affect expression in social robots: Combining non-verbal affect expression techniques.” 2019. Web. 30 Nov 2020.

Vancouver:

Prajod P(. Affect expression in social robots: Combining non-verbal affect expression techniques. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:26ed61ee-8bd6-4571-b529-45c7a94a6b2c.

Council of Science Editors:

Prajod P(. Affect expression in social robots: Combining non-verbal affect expression techniques. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:26ed61ee-8bd6-4571-b529-45c7a94a6b2c


Delft University of Technology

8. Prasad, Nivedita (author). Evaluating Explanations for different Relationship Strengths.

Degree: 2019, Delft University of Technology

People like to travel in groups to visit places. Group recommendation systems can be used to recommend an itinerary of "places of interests" (POIs) in… (more)

Subjects/Keywords: Explanations; Group Recommendation; Relationship Strength; Privacy; Sequences; User Satisfaction

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APA (6th Edition):

Prasad, N. (. (2019). Evaluating Explanations for different Relationship Strengths. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ed146063-59c1-4175-88d4-64b452d617db

Chicago Manual of Style (16th Edition):

Prasad, Nivedita (author). “Evaluating Explanations for different Relationship Strengths.” 2019. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:ed146063-59c1-4175-88d4-64b452d617db.

MLA Handbook (7th Edition):

Prasad, Nivedita (author). “Evaluating Explanations for different Relationship Strengths.” 2019. Web. 30 Nov 2020.

Vancouver:

Prasad N(. Evaluating Explanations for different Relationship Strengths. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:ed146063-59c1-4175-88d4-64b452d617db.

Council of Science Editors:

Prasad N(. Evaluating Explanations for different Relationship Strengths. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:ed146063-59c1-4175-88d4-64b452d617db


Delft University of Technology

9. Bălan, Alex (author). MANtIS: a novel information seeking dialogues dataset.

Degree: 2019, Delft University of Technology

Nowadays, most users access the web through search engine portals. However, information needs can often be ill-defined or too broad to be solvable by a… (more)

Subjects/Keywords: conversational search; Conversation; Information Retrieval; Conversational Agent; Ranking

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APA (6th Edition):

Bălan, A. (. (2019). MANtIS: a novel information seeking dialogues dataset. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0ab2d1e4-385e-43cf-9883-cfc6c2f3f19c

Chicago Manual of Style (16th Edition):

Bălan, Alex (author). “MANtIS: a novel information seeking dialogues dataset.” 2019. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:0ab2d1e4-385e-43cf-9883-cfc6c2f3f19c.

MLA Handbook (7th Edition):

Bălan, Alex (author). “MANtIS: a novel information seeking dialogues dataset.” 2019. Web. 30 Nov 2020.

Vancouver:

Bălan A(. MANtIS: a novel information seeking dialogues dataset. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:0ab2d1e4-385e-43cf-9883-cfc6c2f3f19c.

Council of Science Editors:

Bălan A(. MANtIS: a novel information seeking dialogues dataset. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:0ab2d1e4-385e-43cf-9883-cfc6c2f3f19c


Delft University of Technology

10. Dingjan, Mitchell (author). Exploring Exploration in Recommender Systems: Where? How Much? For Whom?.

Degree: 2020, Delft University of Technology

Recommender systems focus on automatically surfacing suitable items for users from digital collections that are too large for the user to oversee themselves. A considerable… (more)

Subjects/Keywords: Recommender Systems; Exploration; Personalization; Filtering; User Preferences; Taste Broadening; Multi-Armed Bandits

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APA (6th Edition):

Dingjan, M. (. (2020). Exploring Exploration in Recommender Systems: Where? How Much? For Whom?. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ec22c976-7c3f-4101-80b4-ab0f3acea0eb

Chicago Manual of Style (16th Edition):

Dingjan, Mitchell (author). “Exploring Exploration in Recommender Systems: Where? How Much? For Whom?.” 2020. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:ec22c976-7c3f-4101-80b4-ab0f3acea0eb.

MLA Handbook (7th Edition):

Dingjan, Mitchell (author). “Exploring Exploration in Recommender Systems: Where? How Much? For Whom?.” 2020. Web. 30 Nov 2020.

Vancouver:

Dingjan M(. Exploring Exploration in Recommender Systems: Where? How Much? For Whom?. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:ec22c976-7c3f-4101-80b4-ab0f3acea0eb.

Council of Science Editors:

Dingjan M(. Exploring Exploration in Recommender Systems: Where? How Much? For Whom?. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:ec22c976-7c3f-4101-80b4-ab0f3acea0eb


Delft University of Technology

11. Rensen, Tim (author). The Design and Implementation of a Domain-Specific Language for the Description of Medical Devices.

Degree: 2018, Delft University of Technology

 LeQuest develops interactive e-training modules to improve the competence regarding medical technology of medical professionals. The medical technology is analysed by LeQuest to develop training… (more)

Subjects/Keywords: domain-specific language; medical devices; medical technology

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APA (6th Edition):

Rensen, T. (. (2018). The Design and Implementation of a Domain-Specific Language for the Description of Medical Devices. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:2b8d0503-69b4-41ee-b47c-b6b89b7252c7

Chicago Manual of Style (16th Edition):

Rensen, Tim (author). “The Design and Implementation of a Domain-Specific Language for the Description of Medical Devices.” 2018. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:2b8d0503-69b4-41ee-b47c-b6b89b7252c7.

MLA Handbook (7th Edition):

Rensen, Tim (author). “The Design and Implementation of a Domain-Specific Language for the Description of Medical Devices.” 2018. Web. 30 Nov 2020.

Vancouver:

Rensen T(. The Design and Implementation of a Domain-Specific Language for the Description of Medical Devices. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:2b8d0503-69b4-41ee-b47c-b6b89b7252c7.

Council of Science Editors:

Rensen T(. The Design and Implementation of a Domain-Specific Language for the Description of Medical Devices. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:2b8d0503-69b4-41ee-b47c-b6b89b7252c7


Delft University of Technology

12. Vaandrager, Willem (author). A scalable approach to real-time taxi ridesharing.

Degree: 2018, Delft University of Technology

In an increasing urbanizing world the need for efficient transportation methods is growing. Ridesharing, sharing a taxi trip with multiple passengers, has been proposed as… (more)

Subjects/Keywords: Ridesharing; Route planning; Taxi; Clustering; Scalability

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APA (6th Edition):

Vaandrager, W. (. (2018). A scalable approach to real-time taxi ridesharing. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:9ff242b0-1dae-42d3-858d-3d906eb6d651

Chicago Manual of Style (16th Edition):

Vaandrager, Willem (author). “A scalable approach to real-time taxi ridesharing.” 2018. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:9ff242b0-1dae-42d3-858d-3d906eb6d651.

MLA Handbook (7th Edition):

Vaandrager, Willem (author). “A scalable approach to real-time taxi ridesharing.” 2018. Web. 30 Nov 2020.

Vancouver:

Vaandrager W(. A scalable approach to real-time taxi ridesharing. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:9ff242b0-1dae-42d3-858d-3d906eb6d651.

Council of Science Editors:

Vaandrager W(. A scalable approach to real-time taxi ridesharing. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:9ff242b0-1dae-42d3-858d-3d906eb6d651


Delft University of Technology

13. Nikolopoulos, Dionysis (author). Link Prediction using Temporal Information in Multilayer Networks.

Degree: 2019, Delft University of Technology

There is an increasing attention towards link prediction in complex networks both in physical and computer science communities. Particularly Online Social Networks (OSNs) are becoming… (more)

Subjects/Keywords: link prediction; temporal networks; Machine Learning

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APA (6th Edition):

Nikolopoulos, D. (. (2019). Link Prediction using Temporal Information in Multilayer Networks. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a0dbb6da-9a53-4de1-92a0-9cd955486b94

Chicago Manual of Style (16th Edition):

Nikolopoulos, Dionysis (author). “Link Prediction using Temporal Information in Multilayer Networks.” 2019. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:a0dbb6da-9a53-4de1-92a0-9cd955486b94.

MLA Handbook (7th Edition):

Nikolopoulos, Dionysis (author). “Link Prediction using Temporal Information in Multilayer Networks.” 2019. Web. 30 Nov 2020.

Vancouver:

Nikolopoulos D(. Link Prediction using Temporal Information in Multilayer Networks. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:a0dbb6da-9a53-4de1-92a0-9cd955486b94.

Council of Science Editors:

Nikolopoulos D(. Link Prediction using Temporal Information in Multilayer Networks. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:a0dbb6da-9a53-4de1-92a0-9cd955486b94


Delft University of Technology

14. Verdoorn, Joost (author). Identifying memes and their interactions in online communities.

Degree: 2018, Delft University of Technology

Memes are theorized to be the building blocks of culture. Due to a lack of empirical validation, however, the theory of memes — memetics —… (more)

Subjects/Keywords: Memes; Memetics; Reddit; Epidemiology; Interaction networks; Information cascades

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APA (6th Edition):

Verdoorn, J. (. (2018). Identifying memes and their interactions in online communities. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b74a75ad-ee6a-466b-979c-f99c295165da

Chicago Manual of Style (16th Edition):

Verdoorn, Joost (author). “Identifying memes and their interactions in online communities.” 2018. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:b74a75ad-ee6a-466b-979c-f99c295165da.

MLA Handbook (7th Edition):

Verdoorn, Joost (author). “Identifying memes and their interactions in online communities.” 2018. Web. 30 Nov 2020.

Vancouver:

Verdoorn J(. Identifying memes and their interactions in online communities. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:b74a75ad-ee6a-466b-979c-f99c295165da.

Council of Science Editors:

Verdoorn J(. Identifying memes and their interactions in online communities. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:b74a75ad-ee6a-466b-979c-f99c295165da


Delft University of Technology

15. van Zoest, Max (author). Politags: Breaking the filter bubble by using human computation techniques to enable diverse personalization.

Degree: 2018, Delft University of Technology

 This research is aimed at breaking online political filter bubbles. We present a system that uses artificial intelligence and human computation to automatically collect article… (more)

Subjects/Keywords: Filter bubble; Human Computation; Politics; Artificial intelligence; Democracy; Personalization

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APA (6th Edition):

van Zoest, M. (. (2018). Politags: Breaking the filter bubble by using human computation techniques to enable diverse personalization. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4df18ec6-181f-4d22-acaf-456542b6db1b

Chicago Manual of Style (16th Edition):

van Zoest, Max (author). “Politags: Breaking the filter bubble by using human computation techniques to enable diverse personalization.” 2018. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:4df18ec6-181f-4d22-acaf-456542b6db1b.

MLA Handbook (7th Edition):

van Zoest, Max (author). “Politags: Breaking the filter bubble by using human computation techniques to enable diverse personalization.” 2018. Web. 30 Nov 2020.

Vancouver:

van Zoest M(. Politags: Breaking the filter bubble by using human computation techniques to enable diverse personalization. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:4df18ec6-181f-4d22-acaf-456542b6db1b.

Council of Science Editors:

van Zoest M(. Politags: Breaking the filter bubble by using human computation techniques to enable diverse personalization. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:4df18ec6-181f-4d22-acaf-456542b6db1b


Delft University of Technology

16. Walterbos, Alex (author). Using Implicit Job Seeker Preferences to Improve Job Recommendation Ranking.

Degree: 2019, Delft University of Technology

This thesis focuses on the field of Job Recommendation. Particularly, we focus on using implicit preferences exhibited by the job seeker in interactions with a… (more)

Subjects/Keywords: Recommender Systems; implicit feedback; Ranking; sorting algorithm; Relevance evaluation; NDCG; Job Recommendation; implicit preferences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Walterbos, A. (. (2019). Using Implicit Job Seeker Preferences to Improve Job Recommendation Ranking. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:fe93c46d-d1a1-4331-8307-8e7b2a81cac9

Chicago Manual of Style (16th Edition):

Walterbos, Alex (author). “Using Implicit Job Seeker Preferences to Improve Job Recommendation Ranking.” 2019. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:fe93c46d-d1a1-4331-8307-8e7b2a81cac9.

MLA Handbook (7th Edition):

Walterbos, Alex (author). “Using Implicit Job Seeker Preferences to Improve Job Recommendation Ranking.” 2019. Web. 30 Nov 2020.

Vancouver:

Walterbos A(. Using Implicit Job Seeker Preferences to Improve Job Recommendation Ranking. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:fe93c46d-d1a1-4331-8307-8e7b2a81cac9.

Council of Science Editors:

Walterbos A(. Using Implicit Job Seeker Preferences to Improve Job Recommendation Ranking. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:fe93c46d-d1a1-4331-8307-8e7b2a81cac9


Delft University of Technology

17. Rothweiler, Joost (author). Politags: Breaking the filter bubble by using information extraction techniques to enable diverse personalization.

Degree: 2018, Delft University of Technology

 This research is aimed at breaking online political filter bubbles. We present a system that uses artificial intelligence and human computation to automatically collect article… (more)

Subjects/Keywords: information extraction; filter bubble; personalization; democracy; ner; ned; topic classification; named entities; continuous improvement

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rothweiler, J. (. (2018). Politags: Breaking the filter bubble by using information extraction techniques to enable diverse personalization. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:861d1dff-578a-4ba8-89fa-86494dab9465

Chicago Manual of Style (16th Edition):

Rothweiler, Joost (author). “Politags: Breaking the filter bubble by using information extraction techniques to enable diverse personalization.” 2018. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:861d1dff-578a-4ba8-89fa-86494dab9465.

MLA Handbook (7th Edition):

Rothweiler, Joost (author). “Politags: Breaking the filter bubble by using information extraction techniques to enable diverse personalization.” 2018. Web. 30 Nov 2020.

Vancouver:

Rothweiler J(. Politags: Breaking the filter bubble by using information extraction techniques to enable diverse personalization. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:861d1dff-578a-4ba8-89fa-86494dab9465.

Council of Science Editors:

Rothweiler J(. Politags: Breaking the filter bubble by using information extraction techniques to enable diverse personalization. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:861d1dff-578a-4ba8-89fa-86494dab9465


Delft University of Technology

18. Ghanmode, Ishan (author). Leveraging Social Information To Improve Recommendation Novelty.

Degree: 2018, Delft University of Technology

 In today’s digital world, users are often confronted with an abundance of information. Whether the user is looking to compare online prices for products, searching… (more)

Subjects/Keywords: Social Recommendation Systems; Interactive User Interfaces; User Satisfaction; Novelty; Diversity

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ghanmode, I. (. (2018). Leveraging Social Information To Improve Recommendation Novelty. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:573aecf0-8d1d-4c9b-849a-58a47b6d07e5

Chicago Manual of Style (16th Edition):

Ghanmode, Ishan (author). “Leveraging Social Information To Improve Recommendation Novelty.” 2018. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:573aecf0-8d1d-4c9b-849a-58a47b6d07e5.

MLA Handbook (7th Edition):

Ghanmode, Ishan (author). “Leveraging Social Information To Improve Recommendation Novelty.” 2018. Web. 30 Nov 2020.

Vancouver:

Ghanmode I(. Leveraging Social Information To Improve Recommendation Novelty. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:573aecf0-8d1d-4c9b-849a-58a47b6d07e5.

Council of Science Editors:

Ghanmode I(. Leveraging Social Information To Improve Recommendation Novelty. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:573aecf0-8d1d-4c9b-849a-58a47b6d07e5


Delft University of Technology

19. Kumar, Jaya (author). Breaking the filter-bubble: Using visualizations to encourage blind-spots exploration.

Degree: 2018, Delft University of Technology

 In recent years, personalized recommender systems have been facing criticism in research due to their ability to trap users in their circle of choices, called… (more)

Subjects/Keywords: Visualization; Recommender systems; blind spots; Filter bubble; scatterplot; Bar-line chart; Music recommender

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kumar, J. (. (2018). Breaking the filter-bubble: Using visualizations to encourage blind-spots exploration. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:999d8b4e-24a0-4a9f-8463-382f0c0be927

Chicago Manual of Style (16th Edition):

Kumar, Jaya (author). “Breaking the filter-bubble: Using visualizations to encourage blind-spots exploration.” 2018. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:999d8b4e-24a0-4a9f-8463-382f0c0be927.

MLA Handbook (7th Edition):

Kumar, Jaya (author). “Breaking the filter-bubble: Using visualizations to encourage blind-spots exploration.” 2018. Web. 30 Nov 2020.

Vancouver:

Kumar J(. Breaking the filter-bubble: Using visualizations to encourage blind-spots exploration. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:999d8b4e-24a0-4a9f-8463-382f0c0be927.

Council of Science Editors:

Kumar J(. Breaking the filter-bubble: Using visualizations to encourage blind-spots exploration. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:999d8b4e-24a0-4a9f-8463-382f0c0be927


Delft University of Technology

20. Sarder, Mehedi Anam (author). Embodied Conversational Agent for Mental Health Intervention.

Degree: 2018, Delft University of Technology

Embodied Conversational Agents (ECA) seek to provide a more natural means of interaction for a user through verbal and non-verbal properties of human face-to-face communication.… (more)

Subjects/Keywords: ECA; Attentive Listening; Backchannels; Mental health; Human-Machine Interaction; Artificial intelligence; Virtual agent; Conversational Agent

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sarder, M. A. (. (2018). Embodied Conversational Agent for Mental Health Intervention. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0d566cc3-a823-46d5-acbf-b2688648a063

Chicago Manual of Style (16th Edition):

Sarder, Mehedi Anam (author). “Embodied Conversational Agent for Mental Health Intervention.” 2018. Masters Thesis, Delft University of Technology. Accessed November 30, 2020. http://resolver.tudelft.nl/uuid:0d566cc3-a823-46d5-acbf-b2688648a063.

MLA Handbook (7th Edition):

Sarder, Mehedi Anam (author). “Embodied Conversational Agent for Mental Health Intervention.” 2018. Web. 30 Nov 2020.

Vancouver:

Sarder MA(. Embodied Conversational Agent for Mental Health Intervention. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 30]. Available from: http://resolver.tudelft.nl/uuid:0d566cc3-a823-46d5-acbf-b2688648a063.

Council of Science Editors:

Sarder MA(. Embodied Conversational Agent for Mental Health Intervention. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:0d566cc3-a823-46d5-acbf-b2688648a063

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