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The Research Project - Preliminary Proposal Presentation Contextual Suggestion Track: Travel Plan Recommendation System Based on Open-web Information Presenter: Sherry ZHU
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Gist of the Presentation Motivation and Background Information Research Problem Proposed Research Design Plan for data collection Goal of the Paper
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Motivation and Background Information Information and Information needs – growing complexity Previous studies have shown the difficulty of extracting proper information based on an individual user’s interests and needs Instead of search techniques, recommendation system might be a solution to effectively generate personalized results
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Research Problem Proposed to develop a system that is able to make suggestions for a particular user, based upon their profiles, with particular context. Specifically, a travel plan recommendation system based on open-web information of Yelp
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Proposed Research Design 1)The system will classify users based on their browsing history, a dataset drawn from TREC (Text Retrieval Conference) Webiste 2)Combine the information based on classification and ranking from Yelp to produce a list of choices that matches the particular user’s needs 3)Estimating a total of 60 users’ profiles will be drawn randomly from the dataset to be studied in the research
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Data Collection 1)User’s history of browsing to get his/her profile preferences - for system classification 2) Open-Web source of Yelp’s APP (http://www.yelp.ca/) to generate the recommendation listhttp://www.yelp.ca/
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Goal of the Paper Describing the proposed model Obtaining results by simulating the model Making analytical predictions Comparing with similar works
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