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Applying Collaborative Filtering Techniques to Movie Search for Better Ranking and Browsing Seung-Taek Park David M. Pennock
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Document Date: 2007-11-08 11:48:21


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File Size: 476,23 KB

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City

San Jose / Bloodsport / New York / Empire Ave Burbank / Melville / Chicago / /

Company

3M / IMDB Yahoo! DB Web Grank PRank / Yahoo! Movies / Yahoo! / Google / Recommender Systems / MySQL / All (180 feedbacks from 44 users) Navigational / /

Country

United States / /

Currency

USD / /

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Event

Product Issues / Product Recall / Reorganization / /

Facility

University of Toronto / /

IndustryTerm

site-specific search / movie search engines / web search result / search facilities / movie site / movie search engine / Web analyzer / online test procedure / information search / web relevance score / web relevance scores / Test / character name search / niche search engines / online and offline tests / web recommendations / Web Top / ecommerce site / online research platform / Web relevances / particular movie site / prototype movie search / person search results / web documents / ecommerce sites / Web relevance We / movie search results / personalized movie search engine / collaborative filtering algorithms / search tools / search systems / web messages / basic search / title search results / web search engines / web information / example product search / hybrid recommendation algorithm / Web GRank PRank Top / users better search recall / Web relevance The item proximity score / e - commerce / information search tools / online news recommendations / search click logs / Web results / offline and online tests / Web Figure / online test environment / recommendation algorithms / scientific literature search / character name search option / web relevance / base search engine / constant time collaborative filtering algorithm / Information retrieval systems / Item-based collaborative filtering recommendation algorithms / example search result / search result / movie search systems / collaborative filtering algorithm / personalized search / web relevance system / online evaluation / good ranking algorithm / movie search / online tests / Item-based top-n recommendation algorithms / collaborative filtering systems / online test / personalized search results / search engines / Web relevance DB relevance Most movie search engines / subjective assessments / information filtering systems / search click data / web search / Search queries / predictive algorithms / informational search / hybrid systems / Web Grank HR / search click log data / Internet Movie Database / search engine / search results / online newspaper / purpose algorithmic search engine / learning algorithms / movie title search / /

NaturalFeature

River Kwai / /

Organization

Computer Science Department / University of Toronto / /

Person

Bernard Mangold / Omid Madani / Dennis DeCoste / Arnold Schwarzenneger / Gunes Erkan / Arnold Schoenbergs / Arnold Schwarzenegger / Adolf Hitler / Jennifer Lopez / David M. Pennock / Rosie Jones / Benedict Arnold / Kevin Bacon / Seung-Taek Park David / /

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Position

Retrieval General / first author / actress / Maid / King / given actor to Kevin Bacon / Wedding Planner / co-actor / actor / average critic / critic / scientist / director / actor and director / Private / /

Product

Air Force One / Total / systems remains / Yahoo! Search API8 / test / users better search / Yahoo! Movies / Yahoo! Search / DB / MAD6 / ranking systems / /

ProvinceOrState

New York / California / /

PublishedMedium

Communications of the ACM / /

Technology

ranking algorithms / API / good ranking algorithm / collaborative filtering algorithm / hybrid recommendation algorithm / recommendation algorithms / performing collaborative filtering algorithm / collaborative filtering algorithms / search engine / machine learning / Item-based collaborative filtering recommendation algorithms / personalized algorithm / constant time collaborative filtering algorithm / 4341 ±.0025 learning algorithms / item-based algorithm / four algorithms / HITS algorithms / ranking algorithm / virtual community / /

URL

http /

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