Information filtering system

Results: 370



#Item
201Web 2.0 / Collaboration / Essembly / Social networks / Recommender system / Collaborative filtering / Homophily / Social networking service / ITunes Ping / Social information processing / Technology / Human behavior

Friends and Foes: Ideological social networking Michael J. Brzozowski, Tad Hogg, Gabor Szabo Hewlett-Packard Labs 1501 Page Mill Road, MS 1139, Palo Alto, CA 94304, USA {mike.brzozowski, tad.hogg, gabors}@hp.com ABSTRACT

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Source URL: snap.stanford.edu

Language: English - Date: 2011-11-19 02:38:22
202Collective intelligence / Collaboration / Social information processing / Collaborative filtering / Recommender system / GroupLens Research / Personalization / Rating scale / Information filtering system / Information science / Information retrieval / Human–computer interaction

Implicit Rating and Filtering David M. Nichols Computing Department, Lancaster University, Lancaster, LA1 4YR, UK [removed]

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Source URL: www.comp.lancs.ac.uk

Language: English - Date: 1997-12-01 06:10:05
203Information / Natural language processing / Data mining / Semantics / Recommender system / Collaborative filtering / Subject / Spreading activation / Relevance / Information science / Science / Information retrieval

Hebbian Algorithms for a Digital Library Recommendation System Francis Heylighen CLEA, Free University of Brussels http://pcp.vub.ac.be/HEYL.html Johan Bollen

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Source URL: pespmc1.vub.ac.be

Language: English - Date: 2014-05-02 12:27:25
204Collaborative filtering / Requirement / Human behavior / Culture / Social information processing / Information science / Recommender system

Two proposals for a new publishing and reviewing system in computer science by Shirley Zhao

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Source URL: yann.lecun.com

Language: English - Date: 2013-01-19 18:56:19
205Matrix theory / GraphLab / Information retrieval / Collaboration / Singular value decomposition / Recommender system / Collaborative filtering / Tikhonov regularization / Machine learning / Algebra / Mathematics / Linear algebra

arXiv:1108.2580v2 [cs.LG] 17 Aug[removed]Efficient Multicore Collaborative Filtering Yao Wu Qiang Yan

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Source URL: www.select.cs.cmu.edu

Language: English - Date: 2012-01-03 11:14:17
206Information science / Information retrieval / Social networking service / Youth / Recommender system / Internet privacy / Collaborative filtering / Social information processing / Collaboration / Information society

Special Issue on Solving Social Issues Through Business Activities Include everyone in the digital society Communication Activation Technology for Suggesting Conversational Topics

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Source URL: www.nec.com

Language: English - Date: 2014-03-26 09:08:00
207Security / Spam filtering / Computer security / Malware / Anti-spam techniques / Systems management / Computer virus / Information security / Antivirus software / System software / Computing

DUTY STATEMENT STATE TREASURER’S OFFICE Division: Information Technology PART A Position No: [removed]

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Source URL: www.treasurer.ca.gov

Language: English - Date: 2015-02-03 12:55:30
208Information systems / Science / Recommender system / Preference / Collaborative filtering / Preference-based planning / Information science / Information retrieval / Collective intelligence

Journal of Artificial Intelligence Research[removed]503 Submitted 04/06; published[removed]Preference-based Search using Example-Critiquing with Suggestions Paolo Viappiani

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Source URL: liawww.epfl.ch

Language: English - Date: 2011-01-18 06:56:34
209Science / Information retrieval / Collective intelligence / Decision theory / Recommender system / Operations research / Collaborative filtering / Analytic Hierarchy Process / Cold start / Information science / Information systems / Algebra

Anytime AHP Method for Preferences Elicitation in Stereotype-Based Recommender System December 13, 2007 Abstract In stereotype-based recommendation systems, user profiles are represented as an affinity vector of stereoty

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Source URL: www.ise.bgu.ac.il

Language: English - Date: 2009-10-03 09:14:01
210Social information processing / Collaboration / Science / Collaborative filtering / Recommender system / Information / Cold start / GroupLens Research / Machine learning / Collective intelligence / Information science / Information retrieval

Preference Networks: Probabilistic Models for Recommendation Systems Tran The Truyen † , Dinh Q. Phung ‡ and Svetha Venkatesh ‡ Department of Computing, Curtin University of Technology GPO Box U 1987, Perth, WA, Au

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Source URL: crpit.com

Language: English - Date: 2012-01-19 01:28:26
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