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BE-40: Recommendation System #372

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@BElifb

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As a part of our requirements we will create a recommendation system that will recommend to registered users, similar art item content. While deciding the similarity, various parameters will be taken into consideration, such as category and tags of art items along with likes and history of the user.

To Do

  • Research useful technologies and tools that can be used for building a recommendation system.
  • Decide on the parameters we will use.
  • Prepare helpful structures for recommendation. (Such as category and user history)
  • Implement functionality for deciding on the similarity of content.
  • Implement functionality for matching the content to user.
  • Implement necessary API(s).

Deadline

25.12.2022 @23.59

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@KarahanS @mumcusena

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CodingThe issue is related with codingEffort: HighHandling this issue might take longerPriority: MediumThis issue should be handled, if there isn't any high priority issueStatus: In ProgressThe issue is being handled.Team: Backendissues related to backend

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