A Subspace Clustering Framework for Research Group Collaboration

Nitin Agarwal, Ehtesham Haque, Huan Liu and Lance Parsons
Additional contact information
Nitin Agarwal: University of Arkansas at Little Rock, USA
Ehtesham Haque: Arizona State University, USA
Huan Liu: Arizona State University, USA
Lance Parsons: Arizona State University, USA

International Journal of Information Technology and Web Engineering (IJITWE), 2006, vol. 1, issue 1, 35-58

Abstract: Researchers spend considerable time searching for relevant papers on the topic in which they are currently interested. Often, despite having similar interests, researchers in the same laboratory do not find it convenient to share results of bibliographic searches and thus conduct independent time-consuming searches. Research paper recommender systems can help the researcher avoid such time-consuming searches by allowing each researcher to automatically take advantage of previous searches performed by others in the lab. Existing recommender systems were developed for commercial domains to assist users by focusing toward products of their interests. Unlike those domains, the research paper domain has relatively few users when compared with the significantly larger number of research papers. In this paper, we present a novel system to recommend relevant research papers to a user based on the user’s recent querying and browsing habits. The core of the system is a scalable subspace clustering algorithm, SCuBA (Subspace ClUstering Based Analysis) that performs well on the sparse, high-dimensional data collected in this domain. Both synthetic and benchmark datasets are used to evaluate the recommendation system and to demonstrate that it performs better than the traditional collaborative filtering approaches when recommending research papers.

Date: 2006
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/jitwe.2006010102 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jitwe0:v:1:y:2006:i:1:p:35-58

Access Statistics for this article

International Journal of Information Technology and Web Engineering (IJITWE) is currently edited by Ghazi I. Alkhatib

More articles in International Journal of Information Technology and Web Engineering (IJITWE) from IGI Global
Bibliographic data for series maintained by Journal Editor ().