A Survey of Recommendation System

Vol-3 | Issue-05 | May 2018 | Published Online: 19 May 2018    PDF ( 312 KB )
DOI: https://doi.org/10.5281/zenodo.1253472
Author(s)
Surati Alpesh K. 1

1PG Student, Computer Engineering Department, Sarvajanik College of Engineering and Technology Surat, Gujarat (India)

Abstract

Recommendation is a process which plays an important role in many applications . Main objective of this paper is to show various challenges regarding to the techniques that are being used for generating recommendations. Recommendations techniques can be classified in to three major categories: Collaborative Filtering, Content Based and Hybrid Recommendations. By giving the overview of these problems we can improve the quality of recommendations by inventing new approaches and methods, which can be used as a highway for research and practice in this area.

Keywords
Collaborative Filtering, Content-Based Recommendation, Recommendation System, Sparsity Problem Cold Start, over specialization
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