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You searched for subject:(relevance judgment). Showing records 1 – 5 of 5 total matches.

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1. YIN HAINAN. Personalized information retrieval based on novelty feeback.

Degree: 2005, National University of Singapore

Subjects/Keywords: Personalized information retrieval; relevance judgment; topicality; novelty; relevance decision rule; incomplete learning

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

APA (6th Edition):

HAINAN, Y. (2005). Personalized information retrieval based on novelty feeback. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/14774

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

HAINAN, YIN. “Personalized information retrieval based on novelty feeback.” 2005. Thesis, National University of Singapore. Accessed August 08, 2020. http://scholarbank.nus.edu.sg/handle/10635/14774.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

HAINAN, YIN. “Personalized information retrieval based on novelty feeback.” 2005. Web. 08 Aug 2020.

Vancouver:

HAINAN Y. Personalized information retrieval based on novelty feeback. [Internet] [Thesis]. National University of Singapore; 2005. [cited 2020 Aug 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/14774.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

HAINAN Y. Personalized information retrieval based on novelty feeback. [Thesis]. National University of Singapore; 2005. Available from: http://scholarbank.nus.edu.sg/handle/10635/14774

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

2. Greisdorf, Howard F. Relevance Thresholds: A Conjunctive/Disjunctive Model of End-User Cognition as an Evaluative Process.

Degree: 2000, University of North Texas

 This investigation identifies end-user cognitive heuristics that facilitate judgment and evaluation during information retrieval (IR) system interactions. The study extends previous research surrounding relevance as… (more)

Subjects/Keywords: Information retrieval.; Relevance.; Critical thinking.; information; retrieval; relevance; judgment; evaluation

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

APA (6th Edition):

Greisdorf, H. F. (2000). Relevance Thresholds: A Conjunctive/Disjunctive Model of End-User Cognition as an Evaluative Process. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc2717/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Greisdorf, Howard F. “Relevance Thresholds: A Conjunctive/Disjunctive Model of End-User Cognition as an Evaluative Process.” 2000. Thesis, University of North Texas. Accessed August 08, 2020. https://digital.library.unt.edu/ark:/67531/metadc2717/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Greisdorf, Howard F. “Relevance Thresholds: A Conjunctive/Disjunctive Model of End-User Cognition as an Evaluative Process.” 2000. Web. 08 Aug 2020.

Vancouver:

Greisdorf HF. Relevance Thresholds: A Conjunctive/Disjunctive Model of End-User Cognition as an Evaluative Process. [Internet] [Thesis]. University of North Texas; 2000. [cited 2020 Aug 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc2717/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Greisdorf HF. Relevance Thresholds: A Conjunctive/Disjunctive Model of End-User Cognition as an Evaluative Process. [Thesis]. University of North Texas; 2000. Available from: https://digital.library.unt.edu/ark:/67531/metadc2717/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. WANG DONG. Understanding searchers' query dynamics online.

Degree: 2007, National University of Singapore

Subjects/Keywords: order effect; relevance judgment; hierarchical linear modeling; quey expansion; Hidden Markov Model

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

APA (6th Edition):

DONG, W. (2007). Understanding searchers' query dynamics online. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/17545

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

DONG, WANG. “Understanding searchers' query dynamics online.” 2007. Thesis, National University of Singapore. Accessed August 08, 2020. http://scholarbank.nus.edu.sg/handle/10635/17545.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

DONG, WANG. “Understanding searchers' query dynamics online.” 2007. Web. 08 Aug 2020.

Vancouver:

DONG W. Understanding searchers' query dynamics online. [Internet] [Thesis]. National University of Singapore; 2007. [cited 2020 Aug 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/17545.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

DONG W. Understanding searchers' query dynamics online. [Thesis]. National University of Singapore; 2007. Available from: http://scholarbank.nus.edu.sg/handle/10635/17545

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

4. LIU CHENGLIANG. The dynamics of interactive information retrieval: An activity theory perspective.

Degree: 2006, National University of Singapore

Subjects/Keywords: Interactive Information Seeking (IIS); Interactive Information Retrieval (IIR); Relevance Judgment; Activity Theory; Query Revision

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

APA (6th Edition):

CHENGLIANG, L. (2006). The dynamics of interactive information retrieval: An activity theory perspective. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/15393

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

CHENGLIANG, LIU. “The dynamics of interactive information retrieval: An activity theory perspective.” 2006. Thesis, National University of Singapore. Accessed August 08, 2020. http://scholarbank.nus.edu.sg/handle/10635/15393.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

CHENGLIANG, LIU. “The dynamics of interactive information retrieval: An activity theory perspective.” 2006. Web. 08 Aug 2020.

Vancouver:

CHENGLIANG L. The dynamics of interactive information retrieval: An activity theory perspective. [Internet] [Thesis]. National University of Singapore; 2006. [cited 2020 Aug 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/15393.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

CHENGLIANG L. The dynamics of interactive information retrieval: An activity theory perspective. [Thesis]. National University of Singapore; 2006. Available from: http://scholarbank.nus.edu.sg/handle/10635/15393

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

5. Saillenfest, Antoine. Modélisation cognitive de la pertinence narrative en vue de l'évaluation et de la génération de récits : Cognitive modeling of narrative relevance : towards the evaluation and the generation of stories.

Degree: Docteur es, Informatique et réseaux, 2015, Paris, ENST

Une part importante de l’activité de communication humaine est dédiée au récit d’événements (fictifs ou non). Ces récits doivent être cohérents et intéressants pour être… (more)

Subjects/Keywords: Pertinence narrative; Complexité de Kolmogorov; Complexité cognitive; Inattendu; Intérêt; Crédibilité; Postdictibilité; Conflit cognitif; Suspense; Jugement moral; Génération automatique de récits; Probabilité subjective; Abduction; Narrative relevance; Kolmogorov complexity; Cognitive complexity; Unexpectedness; Interest; Believability; Postdictability; Cognitive conflict; Suspense; Moral judgment; Automatic story generation; Subjective probability; Abduction

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

APA (6th Edition):

Saillenfest, A. (2015). Modélisation cognitive de la pertinence narrative en vue de l'évaluation et de la génération de récits : Cognitive modeling of narrative relevance : towards the evaluation and the generation of stories. (Doctoral Dissertation). Paris, ENST. Retrieved from http://www.theses.fr/2015ENST0073

Chicago Manual of Style (16th Edition):

Saillenfest, Antoine. “Modélisation cognitive de la pertinence narrative en vue de l'évaluation et de la génération de récits : Cognitive modeling of narrative relevance : towards the evaluation and the generation of stories.” 2015. Doctoral Dissertation, Paris, ENST. Accessed August 08, 2020. http://www.theses.fr/2015ENST0073.

MLA Handbook (7th Edition):

Saillenfest, Antoine. “Modélisation cognitive de la pertinence narrative en vue de l'évaluation et de la génération de récits : Cognitive modeling of narrative relevance : towards the evaluation and the generation of stories.” 2015. Web. 08 Aug 2020.

Vancouver:

Saillenfest A. Modélisation cognitive de la pertinence narrative en vue de l'évaluation et de la génération de récits : Cognitive modeling of narrative relevance : towards the evaluation and the generation of stories. [Internet] [Doctoral dissertation]. Paris, ENST; 2015. [cited 2020 Aug 08]. Available from: http://www.theses.fr/2015ENST0073.

Council of Science Editors:

Saillenfest A. Modélisation cognitive de la pertinence narrative en vue de l'évaluation et de la génération de récits : Cognitive modeling of narrative relevance : towards the evaluation and the generation of stories. [Doctoral Dissertation]. Paris, ENST; 2015. Available from: http://www.theses.fr/2015ENST0073

.