loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Maunendra Sankar Desarkar and Sudeshna Sarkar

Affiliation: Indian Institute of Technology Kharagpur, India

ISBN: 978-989-8565-29-7

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 combinin g the purchase behaviors of the experts and generating the final recommendation. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.80.4.76

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Desarkar, M. and Sarkar, S. (2012). User based Collaborative Filtering with Temporal Information for Purchase Data.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012) ISBN 978-989-8565-29-7, 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 - Volume 1: KDIR, (IC3K 2012)},
year={2012},
pages={55-64},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004134400550064},
isbn={978-989-8565-29-7},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)
TI - User based Collaborative Filtering with Temporal Information for Purchase Data
SN - 978-989-8565-29-7
AU - Desarkar, M.
AU - Sarkar, S.
PY - 2012
SP - 55
EP - 64
DO - 10.5220/0004134400550064

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

Thomson Reuters

dblp

Ei Compendex

SCOPUS

Semantic Scholar