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item-collaborative-filtering

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The objective of the competition was to create the best recommender system for a book recommendation service by providing 10 recommended books to each user. The evaluation metric was MAP@10.

  • Updated Nov 19, 2021
  • Python

A platform where user is suggested items to buy based on previous transaction history and current cart. Implemented item to item collaborative filtering using Apriori algorithm. Improved upon the algorithm which provided pairwise affinity only, to allow computation of items similar to a given set of items. Technologies used – Python libraries, R…

  • Updated Jan 16, 2018
  • HTML

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