A New Approach for Collaborative Filtering based on Bayesian Network Inference

Loc Nguyen

Abstract

Collaborative filtering (CF) is one of the most popular algorithms, for recommendation in cases, the items which are recommended to users, have been determined by relying on the outcomes done on surveying their communities. There are two main CF-approaches, which are memory-based and model-based. The model-based approach is more dominant by real-time response when it takes advantage of inference mechanism in recommendation task. However the problem of incomplete data is still an open research and the inference engine is being improved more and more so as to gain high accuracy and high speed. I propose a new model-based CF based on applying Bayesian network (BN) into reference engine with assertion that BN is an optimal inference model because BN is user’s purchase pattern and Bayesian inference is evidence-based inferring mechanism which is appropriate to rating database. Because the quality of BN relies on the completion of training data, it gets low if training data have a lot of missing values. So I also suggest an average technique to fill in missing values.

References

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Paper Citation


in Harvard Style

Nguyen L. (2015). A New Approach for Collaborative Filtering based on Bayesian Network Inference . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015) ISBN 978-989-758-158-8, pages 475-480. DOI: 10.5220/0005635204750480


in Bibtex Style

@conference{kdir15,
author={Loc Nguyen},
title={A New Approach for Collaborative Filtering based on Bayesian Network Inference},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)},
year={2015},
pages={475-480},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005635204750480},
isbn={978-989-758-158-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)
TI - A New Approach for Collaborative Filtering based on Bayesian Network Inference
SN - 978-989-758-158-8
AU - Nguyen L.
PY - 2015
SP - 475
EP - 480
DO - 10.5220/0005635204750480