Recommendation Systems: Different Techniques, Challenges and Future Directions

Indu Sharma

doi:10.55524/ijirem.2021.8.6.98

Abstract

As a significant research focus, the Recommender Systems (RS) has developed to assist customers find goods online by providing suggestions that closely match their interest. This article provides a review of achievements and the future direction in the area of Recommended Systems. It was believed that helping users deal with the problem of data overload was the original purpose of information retrieval systems or search engines, but what differentiates proposed solutions from the current search engines is the needs of customized helpful and entertaining. The "intelligence" element is what makes a proposal more intriguing and helpful. Intelligence is one of the major ways of customization to know the interests of the user, predict the unknown preferences of the user, and ultimately offer recommendations by matching the query and the material beyond a simple search. This study has resulted in many significant findings, which will enable present and the future generation researchers of RS to assess and define the roadmap of their research in this area.

Keywords

Challenges, Feedback, Filtering techniques, Future direction, Issues, Research trends, Recommendation Systems.

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Cites this article as

I. Sharma "Recommendation Systems: Different Techniques, Challenges and Future Directions", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-8, Issue-6, Page No-442-446, 2021. Available from: https://doi.org/10.55524/ijirem.2021.8.6.98