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Context filtering
Results: 34

#	Item
11	Spam Filtering using Character-level Markov Models: Experiments for the TREC 2005 Spam Track Andrej Bratko1,2 and Bogdan Filipiˇc1 {andrej.bratko,bogdan.filipic}@ijs.si 1 Department Add to Reading List Source URL: trec.nist.gov Language: English Natural language processing Science Spamming Email Computational linguistics Context tree weighting DSPAM Email filtering SpamAssassin Spam filtering Computing Software
12	Privacy-preserving Context-aware Recommender Systems: Analysis and New Solutions Qiang Tang and Jun Wang APSIA group, SnT, University of Luxembourg 6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg {qiang.tang, jun.wa Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2015-04-22 03:51:15 Human behavior Computing Recommender system Eval Cold start Collaborative filtering Slope One Collective intelligence Collaboration Information science
13	Personalized News Recommendation with Context Trees Florent Garcin Christos Dimitrakakis Boi Faltings Add to Reading List Source URL: liawww.epfl.ch Language: English - Date: 2013-09-26 07:13:25 Science Recommender system Collaborative filtering GroupLens Research Markov chain Information filtering system Hidden Markov model Kalman filter Variable-order Markov model Markov models Statistics Information science
14	R ECATHON: A Middleware for Context-Aware Recommendation in Database Systems 1 Mohamed 1 Sarwat, 2 James L. Avery, 3 Mohamed F. Mokbel Add to Reading List Source URL: www-users.cs.umn.edu Language: English - Date: 2015-04-07 00:26:55 Information retrieval Recommender systems Collaboration Collective intelligence Social information processing GroupLens Research Collaborative filtering Singular value decomposition MovieLens Algebra Information science Mathematics
15	Context-Aware Content Filtering & Presentation for Pervasive & Mobile Information Systems ∗ Kaijian Xu Add to Reading List Source URL: www-scf.usc.edu Language: English - Date: 2009-03-04 01:51:33 Information retrieval Information Software Data management Technical communication Context awareness Personalization Adaptation Recommender system Information science Human–computer interaction User interface techniques
16	ESCOM Corporation, PO Box 626, Oakton, VA[removed]Copyright 2004 ESCOM Corporation This document may be freely reproduced and distributed whole and intact including this Copyright Notice. Spam Filtering with Add to Reading List Source URL: csrc.nist.gov Language: English - Date: 2004-03-01 00:00:00 Computing Email filtering Email spam Content filtering Sendmail Message transfer agent Anti-spam techniques Context filtering Email Computer-mediated communication Spam filtering
17	Improving Music Recommendation in Session-Based Collaborative Filtering by using Temporal Context Ricardo Dias, Manuel J. Fonseca Department of Computer Science and Engineering INESC-ID/IST-Technical University of Lisbon Add to Reading List Source URL: www.di.fc.ul.pt Language: English - Date: 2014-03-05 04:36:02 Human–computer interaction Science Collaboration Recommender system Machine learning Collaborative filtering GroupLens Research Cluster analysis Algorithm Information science Statistics Information retrieval
18	Key Benefits • Search it your way - configurable • Search with what you know • Enter any string; get results • Flexible search filtering • Search in context Add to Reading List Source URL: www.endeavour.co.nz - Date: 2014-12-08 18:22:51
19	Climbing the App Wall: Enabling Mobile App Discovery through Context-Aware Recommendations Alexandros Karatzoglou Linas Baltrunas Add to Reading List Source URL: www.karenchurch.com Language: English - Date: 2013-01-19 09:13:55 Collaboration Collective intelligence Recommender system Collaborative filtering Personalization Information filtering system Tensor Android Market Information science Information retrieval Science
20	Context-Aware Recommender Systems Gediminas Adomavicius, Alexander Tuzhilin Abstract The importance of contextual information has been recognized by researchers and practitioners in many disciplines, including e-commerce Add to Reading List Source URL: ids.csom.umn.edu Language: English - Date: 2010-02-14 22:29:00 Diff Science Collective intelligence Information retrieval Collaborative filtering Cold start Recommender system Computing Information science

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