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You searched for subject:(Travel recommender system). Showing records 1 – 2 of 2 total matches.

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NSYSU

1. Weng, Ling-chao. On Recommending Tourist Attractions in a Mobile P2P Environment.

Degree: Master, Information Management, 2009, NSYSU

ããRecommendation techniques are developed to uncover usersâ real needs among large volume of information. Recommender systems help us filter information and present those similar to our tastes. As wireless technology develops and mobile devices become more and more powerful, new recommender systems appear to adapt to new implementation environment. We focus on travel recommender systems implemented in a mobile P2P environment using collaborative filtering recommendation algorithms which intend to provide real-time suggestions to travelers when they are on the move. Using the concept of incorporating other travelersâ suggestions to the next attraction, we let users exchange their ratings toward visited attractions and use these ratings as a basis of recommendation. ããWe proposed six data exchange algorithms for travelers to exchange their ratings. The proposed methods were experimented in the homogeneous and heterogeneous environment. The experimental results show that the proposed data exchange methods have better recommendation hit ratio than content-based recommendation methods and better performance compared with other methods only using ratings of users when they meet face-to-face. Finally, all methods are compared and evaluated. An optimal method should be able to strike a balance between algorithm performance and the amount of data communication. Advisors/Committee Members: Fu-ren Lin (chair), San-yih Hwang (committee member), Shih-chieh Hsu (chair), Wan-shiou Yang (committee member).

Subjects/Keywords: Collaborative filtering; Travel recommender system; Mobile P2P environment; Data exchange method

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

APA (6th Edition):

Weng, L. (2009). On Recommending Tourist Attractions in a Mobile P2P Environment. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0811109-023332

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):

Weng, Ling-chao. “On Recommending Tourist Attractions in a Mobile P2P Environment.” 2009. Thesis, NSYSU. Accessed May 25, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0811109-023332.

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

MLA Handbook (7th Edition):

Weng, Ling-chao. “On Recommending Tourist Attractions in a Mobile P2P Environment.” 2009. Web. 25 May 2019.

Vancouver:

Weng L. On Recommending Tourist Attractions in a Mobile P2P Environment. [Internet] [Thesis]. NSYSU; 2009. [cited 2019 May 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0811109-023332.

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

Council of Science Editors:

Weng L. On Recommending Tourist Attractions in a Mobile P2P Environment. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0811109-023332

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


NSYSU

2. Chen, Guan-Ru. Tourist Attractions Recommendation on Asynchronous Information Sharing in a Mobile Environment.

Degree: Master, Information Management, 2010, NSYSU

Despite recommender systems being useful, for some applications it is hard to accumulate all the required information needed for the recommendation. In today‟s ubiquitous environment, mobile devices with different characteristics are widely available. Our work focuses on the recommendation service built on mobile environment to support tourists‟ traveling need. When tourists visit a new attraction, their recommender systems can exchange data with the attraction system to help obtain rating information of people with similar tastes. Such asynchronous rating exchange mechanisms allow a tourist to receive ratings from other people even though they may not collocate at the same time. We proposed four data exchange methods between a user and an attraction system. Our recommendation mechanism incorporates other users‟ opinions to provide recommendations once the user has collected enough ratings. Every method is compared under four conditions which attraction systems carry different amount of existing data. Then we compare these methods under different amount of existing rating data and shed the light on their advantages and disadvantages. Finally, we compare our proposed asynchronous methods with other synchronous data exchange methods proposed previously. Advisors/Committee Members: Fu-Ren Lin (chair), San-Yih Hwang (committee member), Wan-Shiou Yang (chair).

Subjects/Keywords: Data exchange method; Mobile P2P environment; Travel recommender system; Collaborative filtering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chen, G. (2010). Tourist Attractions Recommendation on Asynchronous Information Sharing in a Mobile Environment. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0816110-005949

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):

Chen, Guan-Ru. “Tourist Attractions Recommendation on Asynchronous Information Sharing in a Mobile Environment.” 2010. Thesis, NSYSU. Accessed May 25, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0816110-005949.

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

MLA Handbook (7th Edition):

Chen, Guan-Ru. “Tourist Attractions Recommendation on Asynchronous Information Sharing in a Mobile Environment.” 2010. Web. 25 May 2019.

Vancouver:

Chen G. Tourist Attractions Recommendation on Asynchronous Information Sharing in a Mobile Environment. [Internet] [Thesis]. NSYSU; 2010. [cited 2019 May 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0816110-005949.

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

Council of Science Editors:

Chen G. Tourist Attractions Recommendation on Asynchronous Information Sharing in a Mobile Environment. [Thesis]. NSYSU; 2010. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0816110-005949

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

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