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» Using Temporal Data for Making Recommendations
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CIKM
2010
Springer
14 years 8 months ago
Building recommendation systems using peer-to-peer shared content
Peer-to-Peer (p2p) networks are used for sharing content by millions of users. Often, meta-data used for searching is missing or wrong, making it difficult for users to find cont...
Yuval Shavitt, Ela Weinsberg, Udi Weinsberg
KDD
2009
ACM
223views Data Mining» more  KDD 2009»
15 years 10 months ago
Collaborative filtering with temporal dynamics
Customer preferences for products are drifting over time. Product perception and popularity are constantly changing as new selection emerges. Similarly, customer inclinations are ...
Yehuda Koren
SIGMOD
2007
ACM
133views Database» more  SIGMOD 2007»
15 years 9 months ago
Making database systems usable
Database researchers have striven to improve the capability of a database in terms of both performance and functionality. We assert that the usability of a database is as importan...
H. V. Jagadish, Adriane Chapman, Aaron Elkiss, Mag...
DMSN
2010
ACM
14 years 8 months ago
Facilitating fine grained data provenance using temporal data model
E-science applications use fine grained data provenance to maintain the reproducibility of scientific results, i.e., for each processed data tuple, the source data used to proce...
Mohammad Rezwanul Huq, Andreas Wombacher, Peter M....
CIKM
2010
Springer
14 years 8 months ago
A structured approach to query recommendation with social annotation data
Query recommendation has been recognized as an important mean to help users search and also improve the usability of search engines. Existing approaches mainly focus on helping us...
Jiafeng Guo, Xueqi Cheng, Gu Xu, Huawei Shen