Human–computer information retrieval

Results: 571



#Item
461World Wide Web / Human–computer interaction / Information retrieval / Personalization / Knowledge representation / Metadata / JavaScript / Information science / Marketing / Computing

Towards Support for Personalization in Distributed Digital Library Settings Klaus Tochtermann Know-Center Inffeldgasse 16c 8010 Graz

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Source URL: www.ercim.eu

Language: English - Date: 2008-12-08 05:11:33
462User interface techniques / Internet search engines / Personalization / World Wide Web / Personalized search / User interface / Usability / Selection-based search / HTTP cookie / Information science / Information retrieval / Human–computer interaction

Client Side Personalization Lillian Cassel Department of Computing Sciences Ursula Wolz Department of Computer Science

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Source URL: www.ercim.eu

Language: English - Date: 2008-12-08 05:11:33
463Human–computer interaction / Internet / Web search engine / Web page / Computing / World Wide Web / Information science / Information retrieval

Characterizing Web Resources for Improved Search Position Paper Luis Gravano Computer Science Department Columbia University

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Source URL: www.ercim.eu

Language: English - Date: 2008-12-08 05:11:33
464Internet search engines / Human–computer interaction / Information retrieval / Internet search / Searching / Web search query / Usability / Bing / General Architecture for Text Engineering / Information science / Information / Science

Perception and Understanding of Social Annotations in Web Search

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Source URL: www2013.org

Language: English - Date: 2013-04-22 14:12:00
465World Wide Web / Web 2.0 / Social information processing / Collective intelligence / Human–computer interaction / Tag / Exploratory search / CiteULike / Browse / Information science / Information / Information retrieval

Graz University of Technology Knowledge Management Institute EVALUATING TAG-BASED INFORMATION ACCESS IN IMAGE COLLECTIONS

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Source URL: www.marshallplan.at

Language: English - Date: 2012-08-18 23:17:09
466Knowledge representation / Information retrieval / Social information processing / Human–computer interaction / Hypertext / Personalization / Web 2.0 / Recommender system / Ambient intelligence / Information science / Information / Science

Procedia Computer Science Procedia Computer Science[removed]–10 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010)

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Source URL: www.know-center.tugraz.at

Language: English - Date: 2014-07-22 07:19:14
467Information retrieval / Human–computer interaction / Collaboration / Collaborative filtering / GroupLens Research / Recommender system / Science / Information / MovieLens / Information science / Collective intelligence / Social information processing

Combining Dynamic Agents and Collaborative Filtering without Sparsity Rating Problem for Better Recommendation Quality Saranya Maneeroj, Hideaki Kanai and Katsuya Hakozaki Graduate School of Information Systems Universit

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Source URL: www.ercim.eu

Language: English - Date: 2008-12-08 05:11:33
468Human–computer interaction / Information retrieval / Personalization / Customer relationship management / Persona / Customer experience / Online shopping / Customer service / Marketing / Customer experience management / Electronic commerce

Advanced Personalization in e-Commerce: How To Win Online By Infusing Your Customers’ Web Interactions With A Personal Touch - White Paper

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Source URL: www.oracle.com

Language: English
469Electronic commerce / Collective intelligence / Social information processing / Marketing / Recommender systems / GroupLens Research / Collaborative filtering / Usability / Amazon.com / Human–computer interaction / Information science / Information retrieval

Comparing Recommendations Made by Online Systems and Friends Rashmi Sinha and Kirsten Swearingen SIMS, University of California Berkeley, CA 94720 {sinha, kirstens}@sims.berkeley.edu Abstract: The quality of recommendati

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Source URL: www.ercim.eu

Language: English - Date: 2008-12-08 05:11:33
470Collective intelligence / Human–computer interaction / Recommender systems / Collaborative filtering / Slope One / Personalization / GroupLens Research / Cold start / Information science / Information retrieval / Collaboration

Dataset-driven Research for Improving Recommender Systems for Learning Katrien Verbert1 , Hendrik Drachsler2 , Nikos Manouselis3 , Martin Wolpers4 , Riina Vuorikari5 and Erik Duval1 1

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Source URL: www.stellarnet.eu

Language: English - Date: 2012-09-27 05:57:02
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