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Fuzzy Logics Based Recommendation Systems in E-Commerce: A Review

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Proceedings of 2nd International Conference on Smart Computing and Cyber Security (SMARTCYBER 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 395))

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Abstract

Recommender systems have turned into a significant web-based recommendation methodology and are popularly used to endorse various items. Huge amounts of data are available on the internet on the web, the need for analyzing and personalizing systems is continuously increasing. The recommendation systems have a vast range of applications in the field of e-commerce. This paper discusses the types of recommender systems based on fuzzy logic, adaptive and flexible methods are specifically grouped into three groups: collaborative filtering, content-based filtering, and hybrid filtering. This paper also addresses recommender system growth following the e-commerce sector challenges. Each approach has its relative strengths and weaknesses relating to the domain. The main aim of this review paper is to analyze the different types of recommendation systems along with their techniques based on fuzzy logic and used in e-commerce.

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Author information

Authors and Affiliations

  1. GIET University, Gunupur, India

    S. Gopal Krishna Patro, Brojo Kishore Mishra & Raghvendra Kumar

  2. NIT Warangal, Warangal, India

    Sanjaya Kumar Panda

Authors
  1. S. Gopal Krishna Patro
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  2. Brojo Kishore Mishra
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  3. Sanjaya Kumar Panda
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  4. Raghvendra Kumar
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Corresponding author

Correspondence to S. Gopal Krishna Patro .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, KIIT Deemed University, Bhubaneswar, India

    Prasant Kumar Pattnaik

  2. Department of Computer Information Engineering, Dongseo University, Busan, Korea (Republic of)

    Mangal Sain

  3. Smart Computing Department, Kyungdong University Global Campus, Gangwondo, Korea (Republic of)

    Ahmed A. Al-Absi

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Patro, S.G.K., Mishra, B.K., Panda, S.K., Kumar, R. (2022). Fuzzy Logics Based Recommendation Systems in E-Commerce: A Review. In: Pattnaik, P.K., Sain, M., Al-Absi, A.A. (eds) Proceedings of 2nd International Conference on Smart Computing and Cyber Security. SMARTCYBER 2021. Lecture Notes in Networks and Systems, vol 395. Springer, Singapore. https://doi.org/10.1007/978-981-16-9480-6_12

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