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. 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. Multimedia Databases. via Relevance Feedback . with History and Foresight Support. DBRank. 08, April 12. th. 2008, . Cancún. , Mexico. Marc Wichterich. , Christian Beecks, Thomas Seidl. Outline. Motivation. Raju . Balakrishnan. . rajub@asu.edu. (PhD Dissertation Defense). Committee: Subbarao Kambhampati (chair). Yi Chen. . AnHai. Doan. . Huan. Liu.. Agenda. Part 1: Ranking the Deep Web. SourceRank: Ranking Sources.. 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. Christopher . Manning and . Pandu . Nayak. Lecture 14: Learning to Rank. Machine learning for IR ranking?. We’ve looked at methods for ranking documents in IR. Cosine similarity, inverse document frequency, . 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?. Extracting Search-Focused Key N-Grams for Relevance Ranking in Web Search Date: 2012/11/29 Author: Chen Wang, Keping Bi, Yunhua Hu, Hang Li, Guihong Cao Source: WSDM’12 Advisor: Jia -ling, 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. Anand. . Rajaram. & Jeff . Ullman. History of web advertising. Banner ads (1995-2001). Initial form of web advertising. Popular websites charged X$ for every 1000 “impressions” of ad. Called “CPM” rate. In a modern-day world where reliable interaction is a foundation of attaining success, proficiency in the 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 . Raju . Balakrishnan. . rajub@asu.edu. (PhD Dissertation Defense). Committee: Subbarao Kambhampati (chair). Yi Chen. . AnHai. Doan. . Huan. Liu.. Agenda. Part 1: Ranking the Deep Web. SourceRank: Ranking Sources..