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» Collaborative Recommender Systems for Building Automation
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RECSYS
2010
ACM
13 years 7 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
14 years 2 months ago
Tagommenders: connecting users to items through tags
Tagging has emerged as a powerful mechanism that enables users to find, organize, and understand online entities. Recommender systems similarly enable users to efficiently navig...
Shilad Sen, Jesse Vig, John Riedl
IUI
2010
ACM
14 years 4 months ago
Personalized news recommendation based on click behavior
Online news reading has become very popular as the web provides access to news articles from millions of sources around the world. A key challenge of news websites is to help user...
Jiahui Liu, Peter Dolan, Elin Rønby Pederse...
CIDR
2009
161views Algorithms» more  CIDR 2009»
13 years 8 months ago
A Case for A Collaborative Query Management System
Over the past 40 years, database management systems (DBMSs) have evolved to provide a sophisticated variety of data management capabilities. At the same time, tools for managing q...
Nodira Khoussainova, Magdalena Balazinska, Wolfgan...
CGF
2010
155views more  CGF 2010»
13 years 7 months ago
SmallWorlds: Visualizing Social Recommendations
We present SmallWorlds, a visual interactive graph-based interface that allows users to specify, refine and build item-preference profiles in a variety of domains. The interface f...
Brynjar Gretarsson, John O'Donovan, Svetlin Bostan...