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- W4298000231 abstract "On the internet, with the increased number of users, its use for recommending products and services is also increasing. But there is a need to filter that data and provides only relevant recommendations. Recommendation systems help in solving this problem by providing personalized recommendations from a large pool of data. This paper provides an overview of the recommendation system along with its various filtering techniques. The paper also discusses various challenges faced by the current recommendation systems and the possible research areas in this field that can improve its efficiency." @default.
- W4298000231 created "2022-10-01" @default.
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- W4298000231 date "2022-09-30" @default.
- W4298000231 modified "2023-09-30" @default.
- W4298000231 title "Recommendation Engine: Challenges and Scope" @default.
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- W4298000231 doi "https://doi.org/10.1007/978-981-19-4676-9_59" @default.
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