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#	Item
71	Understanding How People Interact with Web Search Results that Change in Real-Time Using Implicit Feedback Jin Young Kim Mark Cramer Jaime Teevan Add to Reading List Source URL: www.surfcanyon.com Language: English - Date: 2015-01-04 20:04:12 Web search query Query expansion Google Search Search engine Exploratory search Bing Personalized search Human–computer information retrieval Web query classification Information science Information retrieval Relevance feedback
72	A new level of social search: discovering the user’s opinion before he can make one Mohammad Raza Microsoft Research Cambridge April 2011 Abstract Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2011-04-20 11:49:10 World Wide Web Social information processing Collaboration Web 2.0 Facebook Recommender system Collaborative filtering Bing Personalized search Information science Information retrieval Software
73	WWW[removed]Track: Semantic Web Session: Semantic Web and Web 2.0 P-TAG: Large Scale Automatic Generation of Personalized Annotation TAGs for the Web Add to Reading List Source URL: www.siegfried-handschuh.net Language: English - Date: 2007-09-06 10:37:38 Information Automatic summarization Search engine indexing Vector space model Tf*idf Index term Web 2.0 Annotea Semantic Web Information science Information retrieval Science
74	C:/Dokumente und Einstellungen/Shady/paper/paper.dvi Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2007-08-10 11:08:07 Google Search Query expansion Relevance feedback Google Personalization Web search engine Full text search Web search query Human–computer information retrieval Information science Information retrieval Personalized search
75	Personalized Magento Search Overview Personalized Magento Search Typically, 10% of the products in an online store attract 75% Add to Reading List Source URL: www.heystaks.com Language: English - Date: 2014-05-28 09:37:58 Business Information technology management Electronic commerce Online shopping Magento
76	Fast Incremental and Personalized PageRank Bahman Bahmani ∗ Stanford University Add to Reading List Source URL: snap.stanford.edu Language: English - Date: 2012-11-06 00:15:04 Network theory Markov models Internet search engines Statistics PageRank Search engine optimization Centrality Webgraph Random walk Link analysis Graph theory Mathematics
77	Probabilistic Models for Personalizing Web Search David Sontag Kevyn Collins-Thompson Paul N. Bennett Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2011-12-12 08:54:02 Web search query Personalized search Personalization Relevance feedback PageRank Bing Information science Information retrieval Web query classification
78	PDF Document Add to Reading List Source URL: media.multiview.com Language: English - Date: 2014-06-23 15:40:14 Internet Advertising Search retargeting Online advertising Behavioral targeting Behavioral retargeting Personalized retargeting Marketing Internet marketing Business
79	Supporting Exploratory Search Through User Modeling Kumaripaba Athukorala ‡ , Antti Oulasvirta † , Dorota Glowacka Vreeken † , Giulio Jacucci ‡ ‡ Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2014-06-13 09:51:20 Science Exploratory search Web search query Relevance feedback Relevance Browse Personalized search Information seeking Human–computer information retrieval Information science Information retrieval Information
80	Learning to Rank for Spatiotemporal Search Blake Shaw, Jon Shea, Siddhartha Sinha, Andrew Hogue Foursquare 568 Broadway New York, NY Add to Reading List Source URL: secondthought.org Language: English - Date: 2013-02-04 16:14:08 Foursquare Personalized search Learning to rank Bing Google Search Local search Information science Internet search engines Information retrieval