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» Using Temporal Data for Making Recommendations
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ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
15 years 3 months ago
Detecting Link Spam Using Temporal Information
How to effectively protect against spam on search ranking results is an important issue for contemporary web search engines. This paper addresses the problem of combating one majo...
Guoyang Shen, Bin Gao, Tie-Yan Liu, Guang Feng, Sh...
WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
13 years 5 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
CIKM
2008
Springer
14 years 11 months ago
Probabilistic polyadic factorization and its application to personalized recommendation
Multiple-dimensional, i.e., polyadic, data exist in many applications, such as personalized recommendation and multipledimensional data summarization. Analyzing all the dimensions...
Yun Chi, Shenghuo Zhu, Yihong Gong, Yi Zhang

Publication
209views
13 years 8 months ago
An Exploratory Study on Open Conversation Spaces in Global Software Engineering
Software engineering is by nature a highly collaborative activity and being able to collaborate effectively is a key factor for project success. However, collaborating effectivel...
Kevin Dullemond, Ben van Gameren, Rini van Solinge...
SIGSOFT
2009
ACM
15 years 10 months ago
DebugAdvisor: a recommender system for debugging
In large software development projects, when a programmer is assigned a bug to fix, she typically spends a lot of time searching (in an ad-hoc manner) for instances from the past ...
B. Ashok, Joseph M. Joy, Hongkang Liang, Sriram K....