Published February 29, 2020 | Version v1
Journal article Open

Exploration of Collaboration Filtering Techniques for Product Recommendation

  • 1. Master of Technology, Department of Computer Science and Engineering, SRM Institute of Science and Technology, KTR Campus, Chennai, Tamilnadu, India.
  • 2. Associate Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, KTR Campus, Chennai, Tamilnadu, India.
  • 1. Publisher

Description

Today, recommendation system has been globally adopted as the most effective and reliable search engine for knowledge extraction in the field of education, economics and scientific research. Collaborative filtering is a proven techniques used in recommender system to make predictions or recommendations of the unknown preferences for users based on the known user preferences. In this paper, collaborative filtering task and their challenges are explored, study the different recommendation techniques and evaluate their performance using different metrics.

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Journal article: 2249-8958 (ISSN)

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ISSN
2249-8958
Retrieval Number
C5348029320/2020┬ęBEIESP