Abstract
In recent years, different types of recommendation system have been developed based on the textual review, comparative opinion, user ratings, purchase patterns, user profiles, etc. These systems have changed the way online world of e-commerce and social media functions—from recommendation of friends on Facebook to purchasing products on Flipkart and choice of movie and music on Netflix. Recommendation system act as a family of information filtering systems that provide recommendation to the users based on his likes and dislikes. The relevance of recommendation becomes even higher in today’s world due to the abundance of information and options. As, the amount of information increased, it gave rise to a problem for users in selecting the items they actually want to buy or the service that they actually want to subscribe to. This is where recommendation system comes into play. This paper will briefly discuss the methods to implement recommendation system and also the techniques used by these methods.
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Gupta, S., Dave, M. (2020). An Overview of Recommendation System: Methods and Techniques. In: Sharma, H., Govindan, K., Poonia, R., Kumar, S., El-Medany, W. (eds) Advances in Computing and Intelligent Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-0222-4_20
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DOI: https://doi.org/10.1007/978-981-15-0222-4_20
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