Abstract
Recommendation system is a sub-ordinate of information filtrate system that provides users with suggestions for items a user may want. It plays a censorious role in wide range of online shopping, e-commercial services, and social networking applications. In recent years recommendations have changed different ways of communication between users and websites. Recommendation system sorts huge amount of data to determine interest of users and makes search easier. For that purpose many methods have been used. This paper covers different approaches which are used in recommendation system which are: collaborative approach, content-based approach, and hybrid recommendation approach. We have also mentioned several issues that come across recommendation systems.
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Patel, A., Thakkar, A., Bhatt, N., Prajapati, P. (2019). Survey and Evolution Study Focusing Comparative Analysis and Future Research Direction in the Field of Recommendation System Specific to Collaborative Filtering Approach. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems . Smart Innovation, Systems and Technologies, vol 106. Springer, Singapore. https://doi.org/10.1007/978-981-13-1742-2_16
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DOI: https://doi.org/10.1007/978-981-13-1742-2_16
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