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» Implicit: an agent-based recommendation system for web searc...
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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 8 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
ICMCS
2006
IEEE
144views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Using Implicit Relevane Feedback to Advance Web Image Search
Although relevance feedback has been extensively studied in content-based image retrieval in the academic area, no commercial web image search engine has employed the idea. There ...
En Cheng, Feng Jing, Mingjing Li, Wei-Ying Ma, Hai...
EXPERT
2006
186views more  EXPERT 2006»
13 years 5 months ago
Agent-Based Semantic Service Discovery for Healthcare: An Organizational Approach
ing organizational abstractions as first-class citizens in the design process.2,3 So, a promising approach would be to combine Semantic Web services4 and agent technologies5,6 for ...
César Cáceres, Alberto Fernán...
DMIN
2007
183views Data Mining» more  DMIN 2007»
13 years 7 months ago
Crawling Attacks Against Web-based Recommender Systems
—User profiles derived from Web navigation data are used in important e-commerce applications such as Web personalization, recommender systems, and Web analytics. In the open en...
Runa Bhaumik, Robin D. Burke, Bamshad Mobasher
EWMF
2003
Springer
13 years 10 months ago
Greedy Recommending Is Not Always Optimal
Abstract. Recommender systems suggest objects to users. One form recommends documents or other objects to users searching information on a web site. A recommender system can be use...
Maarten van Someren, Vera Hollink, Stephan ten Hag...