Sunday 21st of January 2018

Optimizing the Number of Neighbors in Trust Based Recommender Systems

Harmeet Kaur and Deepali Jain

Users in trust based recommender systems seek recommendations from their directly trusted parties known as neighbors or from neighbors of neighbors and so on. This paper proposes an appropriate range ([minrec...maxrec]) providing minimum and maximum number of recommenders that one should have in his close communication. More neighbors than the maximum number of neighbors (maxrec) suggested by the range does not improve the quality of recommendations but requires more time and computations in accumulation of extra recommendations. Lesser number of neighbors than minrec may compromise the quality of recommendations thus requiring seeking recommendations transitively. This again involves time and computation in propagating the query through chain of neighbors and getting the responses. A method to maintain number of neighbors within this range is also proposed. Experiments were conducted on real datasets to discover the most appropriate number of neighbors that an agent should keep.

Keywords: Trust, Recommender System, Optimal number of recommenders

Download Full-Text


Harmeet Kaur
Dr. Harmeet Kaur received her Ph.D. in Computer Science from the Department of Computer Science, University of Delhi, Delhi,India in 2007. She is an Associate Professor in the Department of Computer Science, Hans Raj College, University of Delhi. She has about 15 years of teaching and research experience and has published more than 20 research papers in National/International Journals/Conferences. Her research interests include Multi-agent Systems, Intelligent Information Retrieval Systems, Trust and Personalization.

Deepali Jain
Ms. Deepali Jain is a Research Scholar and working as an Assistant Professor in the Department Of Computer Science, Hans Raj College, University of Delhi. Her research area is Knowledge Based Systems and is currently pursuing PhD under Dr. Harmeet Kaur from Department of Computer Science, University of Delhi.

IJCSI Published Papers Indexed By:





IJCSI is a refereed open access international journal for scientific papers dealing in all areas of computer science research...

Learn more »
Join Us

Read the most frequently asked questions about IJCSI.

Frequently Asked Questions (FAQs) »
Get in touch

Phone: +230 911 5482

More contact details »