PPT-Protecting & Improving Search Ranking in 2015

Steve Wiideman Search Strategist wwwseostevecom SEO 101 Relevancy KeywordThemed Content Usefulness of Content Popularity Mentions Links amp Social Signals User Behavior Similar to Real User Monitoring RUM. 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. Alexander . Kotov. (UIUC). . Pranam. . Kolari. , Yi . Chang (Yahoo!). Lei . Duan. (Microsoft). Motivation. Improvements in ranking can be achieved in two ways:. Better features/methods for promoting high-quality result pages. . Schütze. and Christina . Lioma. Lecture 7: Scores in a Complete Search System. 1. Overview. Recap . . Why rank? . More on cosine. Implementation of ranking . The complete search system. 2. COLOR TEST. COLOR TEST. COLOR TEST. Dueling Algorithms. Nicole . Immorlica. , Northwestern University. with A. . Tauman. . Kalai. , B. . Lucier. , A. . Moitra. , A. . Postlewaite. , and M. . Improving Health -Protecting the EnvironmentAhlstrom Disruptor Anlei Dong Ruiqiang Zhang Pranam Kolari Jing Bai. Fernando Diaz Yi Chang Zhaohui Zheng. Information Retrieval Seminar. Speaker: Luciano Del Corro. Opponent: Monika Mitrevska. Universität des Saarlandes – Max Planck Institute für Informatik. 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. Optimizing Whole-Page . Presentation. Yue. Wang, . Dawei. Yin, . Luo. . Jie. ,. Pengyuan. Wang, Makoto Yamada. Yi Chang, . Qiaozhu. Mei. 1. Ranking in IR. Probability . ranking . principle. . [. Identifying Relevant Websites. from User Activity Data. Misha Bilenko and Ryen White. presented by Matt Richardson. Microsoft Research. Search = Modeling User Behavior. Retrieval functions estimate relevance from behavior of several user groups:. Kai Li, Guo-Jun Qi, Jun Ye, Tuoerhongjiang Yusuph, Kien A. Hua. Department of Computer Science. University of Central Florida. ISM 2016. Presented by . Tuoerhongjiang Yusuph. Introduction. Massive amount of high-dimensional data, high computational costs …. Marcy Blanshan . February 2016. Digital Marketing Summit 2016. ReTargeting. . . -Bruce Hornsby & The Range. “Some things will never change”. . . Google . Bye . Bye. Right Rail. 2014: Over 1,000 algorithm changes*. Hongning Wang. 1. , . Xiaodong. He. 2. , . Ming-Wei Chang. 2. , . Yang . Song. 2. , . Ryen. . W. White. 2. and Wei Chu. 3. 1. Department of Computer Science. University of Illinois at Urbana-Champaign. 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.