Recommender systems

Results: 381



#Item
181Information systems / Science / Collaboration / Social information processing / Information retrieval / Collaborative filtering / Recommender system / Cold start / Cluster analysis / Statistics / Information science / Collective intelligence

Eigentaste 5.0: Constant-Time Adaptability in a Recommender System Using Item Clustering Tavi Nathanson Ephrat Bitton

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Source URL: goldberg.berkeley.edu

Language: English - Date: 2007-08-31 03:30:28
182User interfaces / Technical communication / Usability / Programming by demonstration / Scripting language / Expect / Machine learning / Recommender system / User / Programming paradigms / Computing / Human–computer interaction

Why PBD systems fail: Lessons learned for usable AI Tessa Lau Abstract

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Source URL: tlau.org

Language: English - Date: 2008-01-23 13:22:58
183Collective intelligence / Collaboration / Social information processing / Collaborative filtering / Personalization / Netflix / Cold start / Information science / Information retrieval / Recommender systems

StreamRecDemo_SIGMOD2011_camready.dvi

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Source URL: www-users.cs.umn.edu

Language: English - Date: 2015-04-07 01:42:46
184Information / Collective intelligence / Collaboration / Social information processing / Statistical natural language processing / Collaborative filtering / Tag / Recommender system / Social bookmarking / Statistics / Information science / Information retrieval

Connecting Comments and Tags: Improved Modeling of Social Tagging Systems Dawei Yin† Shengbo GuoS Boris ChidlovskiiS Brian D. Davison† Cedric ArchambeauS Guillaume BouchardS †

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2013-01-04 09:16:09
185Collective intelligence / Information systems / Statistical classification / Collaboration / Recommender systems / Collaborative filtering / GroupLens Research / Cold start / Information filtering system / Statistics / Algebra / Information science

Appeared in Proceedings of the 25’th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2002), ppTampere, Finland. August, 2002. Methods and Metrics for Col

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Source URL: www.andrewschein.com

Language: English - Date: 2011-08-13 15:18:55
186Recommender systems / Library automation / Collective intelligence / Information retrieval / Collaborative filtering / Online Computer Library Center / Online public access catalog / Library catalog / User profile / Library science / Science / Information science

Microsoft Word - Case-for-support_AHRC_LSC_Revised_211009.doc

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Source URL: ir.shef.ac.uk

Language: English - Date: 2009-10-26 07:03:18
187Systems engineering / Technical communication / Usability / Cluster analysis / Dialog system / Recommender system / User modeling / Statistics / Human–computer interaction / Knowledge representation

A Strategy for Information Presentation in Spoken Dialog Systems Vera Demberg∗ Saarland University Andi Winterboer∗∗

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Source URL: homepages.inf.ed.ac.uk

Language: English - Date: 2011-09-23 10:56:51
188Statistics / Recommender systems / Science / Collaboration / Social information processing / Collaborative filtering / Cold start / Receiver operating characteristic / Information filtering system / Information science / Collective intelligence / Information systems

CROC: A New Evaluation Criterion for Recommender Systems 1 Andrew I. Schein2 , Alexandrin Popescul and Lyle H. Ungar University of Pennsylvania

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Source URL: www.andrewschein.com

Language: English - Date: 2011-08-13 15:17:02
189Data analysis / Geostatistics / Machine learning / Recommender system / Statistics / Data mining / Cluster analysis

Information Presentation in Spoken Dialogue Systems Vera Demberg Institute for Natural Language Processing (IMS) University of Stuttgart DStuttgart

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Source URL: homepages.inf.ed.ac.uk

Language: English - Date: 2009-08-21 08:52:14
190Information systems / User profile / German National Library of Economics / Internet privacy / Mendeley / Content management system / Computing / Information science / Software / Identity management / Recommender system

Timo Borst – Tamara Pianos - Christin Seifert EEXCESS - Toolbox for managing and disseminating digital library content EEXCESS (eexcess.eu) is an EU-funded project with many international partners like Mendeley, Collec

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Source URL: dl.dropboxusercontent.com

Language: English
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