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Human–computer information retrieval
Results: 571

#	Item
171	Dynamics of Genre and Domain Intents Shanu Sushmita, Benjamin Piwowarski, and Mounia Lalmas School of Computing Science,University of Glasgow, Scotland, G12 8QQ, United Kingdon. {shanu,bpiwowar,mounia}@dcs.gla.ac.uk Add to Reading List Source URL: www.dcs.gla.ac.uk Language: English - Date: 2013-05-16 15:20:18 Web Intents World Wide Web Information retrieval Web query classification Information science Human–computer interaction Google
172	The Not-so-Magic Magic Barrier of Recommender Systems Alejandro Bellogín1 , Alan Said2 Autónoma de Madrid, Madrid, Spain, [removed] 2 Recorded Future, Gothenburg, Sweden, [removed] Add to Reading List Source URL: tinytocs.org Language: English - Date: 2015-03-07 12:34:01 Human–computer interaction Collective intelligence Social information processing Collaborative filtering Personalization User modeling User model MagiC GroupLens Research Information science Information retrieval Recommender systems
173	Content-Based Methods for Predicting Web-Site Demographic Attributes Santosh Kabbur Eui-Hong Han George Karypis Add to Reading List Source URL: www.dtc.umn.edu Language: English - Date: 2012-08-16 12:29:07 Information science Internet Information retrieval Markup languages HTML HTTP cookie Personalization Framing Root-mean-square deviation World Wide Web Computing Human–computer interaction
174	This is the author’s version of a work that was submitted/accepted for publication in the following source: Abdel-Hafez, Ahmad, Tang, Xiaoyu, Tian, Nan, & Xu, Yue[removed]A reputation-enhanced recommender system. In Adv Add to Reading List Source URL: eprints.qut.edu.au Language: English - Date: 2015-02-06 13:21:55 Social information processing Recommender systems Human–computer interaction Collaboration Collaborative filtering Cold start GroupLens Research Reputation system Personalization Information science Information retrieval Collective intelligence
175	INFORMATION AR C H I T E C T U R E AND PERSONALIZATION A N IN F O R M A T I O N A R C H I T E C T U R E -B A S E D Add to Reading List Source URL: argus-acia.com Language: English - Date: 2000-12-13 23:00:00 Human–computer interaction Information retrieval Personalization World Wide Web User profile Attribute grammar Attrib Web mining WebML Software Computing Information science
176	T ECHNO LOGY N E W S A Technology that Comes Highly Recommended Neal Leavitt Add to Reading List Source URL: www.leavcom.com Language: English - Date: 2013-04-12 14:46:20 Information retrieval Recommender systems Marketing Collaboration Electronic commerce GroupLens Research Collaborative filtering Personalization Online shopping Information science Social information processing Human–computer interaction
177	Asking Questions and Developing Trust Stephanie Rosenthal and Manuela Veloso and Anind Dey Carnegie Mellon University Pittsburgh, PA {srosenth, veloso, anind}@cs.cmu.edu Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-05-12 10:54:15 Information retrieval Human–computer interaction Technical communication Usability Human behavior Computing Recommender system Collaborative filtering Web Accessibility Initiative Collaboration Information science Social information processing
178	This is the author’s version of a work that was submitted/accepted for publication in the following source: Abdel-Hafez, Ahmad, Xu, Yue, & Tian, Nan[removed]Item reputation-aware recommender systems. In IIWAS ’14 : Pr Add to Reading List Source URL: eprints.qut.edu.au Language: English - Date: 2015-03-19 19:32:48 Social information processing Recommender systems Human–computer interaction Collaboration Collaborative filtering GroupLens Research Cold start Reputation system Personalization Information science Information retrieval Collective intelligence
179	CLUB SUPPLI ES ORDER F ORM MAKE A COPY OF THIS ORDER FOR YOUR RECORDS Name Country Add to Reading List Source URL: www8.lionsclubs.org Language: English - Date: 2015-02-17 16:45:52 Computing Human–computer interaction Information retrieval Personalization Email Credit card Online shopping Information science Marketing World Wide Web
180	INDUSTRY TRENDS Recommendation Technology: Will it Boost E-Commerce? Add to Reading List Source URL: www.leavcom.com Language: English - Date: 2013-04-12 14:46:20 Electronic commerce Human–computer interaction Business Recommender system Web services Collaborative filtering Online shopping Personalization GroupLens Research Information science Information retrieval Marketing

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