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Authors: Maunendra Sankar Desarkar and Sudeshna Sarkar

Affiliation: Indian Institute of Technology Kharagpur, India

Keyword(s): Item Recommendation, Collaborative Filtering, Temporal Recommendation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaborative Filtering ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Soft Computing ; Symbolic Systems ; User Profiling and Recommender Systems ; Web Mining

Abstract: User based collaborative filtering algorithms are widely used for generating recommendations for users. Standard user based collaborative filtering algorithms do not consider time as a factor while measuring the user similarities and building the recommendation list. However, users’ interests often shift with time. Recommender systems should therefore rely on recent purchases of the users to address this user dynamics. Items also have their own dynamics. Most of the items in a recommender system are widely popular just after their releases but do not sell that well afterwards. Giving more importance to the recent purchases of the experts may capture the item dynamics and hence result in better recommendation accuracy. We study the performances of different time-aware user based collaborative filtering algorithms on several benchmark datasets. The proposed algorithms use the time-of-purchase information for calculating user similarities. The time information is also used while combini ng the purchase behaviors of the experts and generating the final recommendation. (More)

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Paper citation in several formats:
Desarkar, M. S., Sarkar and S. (2012). User based Collaborative Filtering with Temporal Information for Purchase Data. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2012) - KDIR; ISBN 978-989-8565-29-7; ISSN 2184-3228, SciTePress, pages 55-64. DOI: 10.5220/0004134400550064

@conference{kdir12,
author={Maunendra Sankar Desarkar and Sudeshna Sarkar},
title={User based Collaborative Filtering with Temporal Information for Purchase Data},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2012) - KDIR},
year={2012},
pages={55-64},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004134400550064},
isbn={978-989-8565-29-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2012) - KDIR
TI - User based Collaborative Filtering with Temporal Information for Purchase Data
SN - 978-989-8565-29-7
IS - 2184-3228
AU - Desarkar, M.
AU - Sarkar, S.
PY - 2012
SP - 55
EP - 64
DO - 10.5220/0004134400550064
PB - SciTePress

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