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» A Time-Based Recommender System Using Implicit Feedback
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CIKM
2010
Springer
13 years 4 months ago
Collaborative future event recommendation
We demonstrate a method for collaborative ranking of future events. Previous work on recommender systems typically relies on feedback on a particular item, such as a movie, and ge...
Einat Minkov, Ben Charrow, Jonathan Ledlie, Seth J...
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...
SIGIR
2012
ACM
11 years 8 months ago
TFMAP: optimizing MAP for top-n context-aware recommendation
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, ...
INFOCOM
2010
IEEE
13 years 3 months ago
Predictive Blacklisting as an Implicit Recommendation System
A widely used defense practice against malicious traffic on the Internet is to maintain blacklists, i.e., lists of prolific attack sources that have generated malicious activity in...
Fabio Soldo, Anh Le, Athina Markopoulou
ATAL
2005
Springer
13 years 11 months ago
Implicit: an agent-based recommendation system for web search
The number of web pages available on Internet increases day after day, and consequently finding relevant information becomes more and more a hard task. However, when we consider ...
Aliaksandr Birukou, Enrico Blanzieri, Paolo Giorgi...