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» A Lattice-Based Model for Recommender Systems
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CHI
2009
ACM
15 years 3 months ago
Connecting the dots with related notes
During visual analysis, users must often connect insights discovered at various points of time to understand implicit relations within their analysis. This process is often called...
Yedendra Babu Shrinivasan, David Gotz
ICIA
2007
15 years 2 months ago
An Intelligent Discussion-Bot for Guiding Student Interactions in Threaded Discussions
Although there are high expectations for collaborative discussion and on-line learning, existing systems for on-line discussion and chat facilities are not fully effective in prom...
Jihie Kim, Erin Shaw, Grace Chern, Donghui Feng
RECSYS
2010
ACM
14 years 12 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
2009
ACM
16 years 14 days ago
Predicting click through rate for job listings
Click Through Rate (CTR) is an important metric for ad systems, job portals, recommendation systems. CTR impacts publisher's revenue, advertiser's bid amounts in "p...
Manish S. Gupta
EDBT
2010
ACM
200views Database» more  EDBT 2010»
15 years 6 months ago
Rewrite techniques for performance optimization of schema matching processes
A recurring manual task in data integration, ontology alignment or model management is finding mappings between complex meta data structures. In order to reduce the manual effor...
Eric Peukert, Henrike Berthold, Erhard Rahm