PPT-Towards Practical Relevance Ranking for 10 Million Books

Tom BurtonWest Information Retrieval Programmer Digital Library Production Service University of Michigan Library wwwhathitrustorgblogslargescalesearch Code4lib February 12 2013 w wwwhathitrustorg. Paul N. Bennett, Microsoft Research. Joint with. Ece Kamar, Microsoft Research. Gabriella Kazai, Microsoft Research Cambridge. Motivation for Consensus Task. Recover actual . relevance of . a topic-document . Miguel Costa. , Daniel Gomes (speaker). Portuguese Web . Archive. Information Retrieval. is the activity of obtaining . information resources relevant. . to an . information need. from a . collection. Clickthroughs. for News Search. Hongning. Wang. +. , . Anlei. Dong. *. , . Lihong. Li. *. , Yi Chang. *. , . Evgeniy. . Gabrilovich. *. +. CS@UIUC . *. Yahoo! Labs. Relevance . v.s. . Freshness. Rank-Based Measures. Binary relevance. Precision@K. (P@K). Mean Average Precision (MAP). Mean Reciprocal Rank (MRR). Multiple levels of relevance. Normalized Discounted Cumulative Gain (NDCG). Precision@K. Miguel Costa. , Daniel Gomes (speaker). Portuguese Web . Archive. Information Retrieval. is the activity of obtaining . information resources relevant. . to an . information need. from a . collection. vs.. Weak Induction. Homework. Study Fallacies 1-18. Review pp. 103-132. Fallacies (definition § 4.1). § 4.2 Fallacies of Relevance (1 – 8). § 4.3 Fallacies of Weak Induction (9 – 14). For Next Class: pp. 139-152. sparsity. in web search click data. Qi . Guo. , Dmitry . Lagun. , . Denis Savenkov. , . Qiaoling. Liu. [qguo3. ,dlagun,denis.savenkov,. qiaoling.liu. ]. @. emory.edu. Mathematics . & . Computer . Paul N. Bennett, Microsoft Research. Joint with. Ece Kamar, Microsoft Research. Gabriella Kazai, Microsoft Research Cambridge. Motivation for Consensus Task. Recover actual . relevance of . a topic-document . 2018. Chap. 2 -- Relevance. 2. DIRECT vs. CIRCUMSTANTIAL: DOES IT MATTER ??. DIRECT. . EYEWITNESS TO A FACT IN ISSUE. CIRCUMSTANTIAL. EVERYTHING ELSE . Chap. 2 -- Relevance. 3. WHICH IS MORE PERSUASIVE?. Clickthroughs. for News Search. Hongning. Wang. . , . Anlei. Dong. *. , . Lihong. Li. *. , Yi Chang. *. , . Evgeniy. . Gabrilovich. *. . CS@UIUC . *. Yahoo! Labs. Relevance . v.s. . Freshness. . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. CS276 – Information Retrieval and Web Search. Situation. Thanks to your stellar performance in CS276, you quickly rise to VP of Search at internet retail giant nozama.com. Your boss brings in her nephew Sergey, who claims to have built a better search engine for nozama. Do you. Inspirations, ideas . &. plans. Motivation. Ideal situation: general-purpose image annotation with unlimited vocabulary. Reality:. Classifiers with limited vocabulary and dependency on labeled training data. and . Inter-Tweet Agreement . Srijith. . Ravikumar. Master’s Thesis Defense. Committee Members. Dr. . Subbarao. . Kambhampati. (Chair). Dr. . Huan. Liu. Dr. . Hasan. . Davulcu. 1. . The most .