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RECSYS
2010
ACM
15 years 4 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street
WWW
2010
ACM
15 years 4 months ago
LINKREC: a unified framework for link recommendation with user attributes and graph structure
With the phenomenal success of networking sites (e.g., Facebook, Twitter and LinkedIn), social networks have drawn substantial attention. On online social networking sites, link r...
Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han
IPM
2006
171views more  IPM 2006»
15 years 3 months ago
Automatic extraction of bilingual word pairs using inductive chain learning in various languages
In this paper, we propose a new learning method for extracting bilingual word pairs from parallel corpora in various languages. In cross-language information retrieval, the system...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi
124
Voted
SIGIR
2002
ACM
15 years 3 months ago
Unsupervised document classification using sequential information maximization
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Noam Slonim, Nir Friedman, Naftali Tishby
129
Voted
GVD
2009
162views Database» more  GVD 2009»
15 years 1 months ago
Archiving and Maintaining Curated Databases
Curated databases represent a substantial amount of effort by a dedicated group of people to produce a definitive description of some subject area. The value of curated databases ...
Heiko Müller