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WAIM
2005
Springer

Research Paper Recommender Systems: A Subspace Clustering Approach

13 years 9 months ago
Research Paper Recommender Systems: A Subspace Clustering Approach
Researchers from the same lab often spend a considerable amount of time searching for published articles relevant to their current project. Despite having similar interests, they conduct independent, time consuming searches. While they may share the results afterwards, they are unable to leverage previous search results during the search process. We propose a research paper recommender system that avoids such time consuming searches by augmenting existing search engines with recommendations based on previous searches performed by others in the lab. Most existing recommender systems were developed for commercial domains with millions of users. The research paper domain has relatively few users compared to the large number of online research papers. The two major challenges with this type of data are the large number of dimensions and the sparseness of the data. The novel contribution of the paper is a scalable subspace clustering algorithm (SCuBA1 ) that tackles these problems. Both syn...
Nitin Agarwal, Ehtesham Haque, Huan Liu, Lance Par
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where WAIM
Authors Nitin Agarwal, Ehtesham Haque, Huan Liu, Lance Parsons
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