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A Survey on Location Recommendation Systems Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Artificial Intelligence Based Recommender Systems: A Survey

Authors : Goldie Gabrani, Sangeeta Sabharwal, Viomesh Kumar Singh

Published in: Advances in Computing and Data Sciences

Publisher: Springer Singapore

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Abstract

In recent years, Artificial Intelligence (AI) techniques like (a) fuzzy sets, (b) Artificial Neural Networks (ANNs), (c) Artificial Immune Systems (AIS) (d) Swarm Intelligence (SI), and (e) Evolutionary Computing (EC) are used to improve recommendation accuracy as well as mitigate the current challenges like Scalability, Sparsity, Cold-start etc. Aim of the survey is to incorporate the recommender system in light of the AI techniques. Various AI techniques are presented and recommender system’s challenges are also presented. Moreover, we have tried to study the ability of AI techniques to deal with the above mentioned challenges while designing recommender systems. Furthermore, pros and cons of AI techniques are discussed in detail.

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Metadata
Title
Artificial Intelligence Based Recommender Systems: A Survey
Authors
Goldie Gabrani
Sangeeta Sabharwal
Viomesh Kumar Singh
Copyright Year
2017
Publisher
Springer Singapore
Book
Advances in Computing and Data Sciences

Print ISBN: 978-981-10-5426-6

Electronic ISBN: 978-981-10-5427-3

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-5427-3_6

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