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A study was conducted to develop different recommender systems on a three-year customer-product relationship data. SimpleSVD, NormalSVD, MidUserSVD, MidItemSVD, MidTotalSVD, KNN, KMeans, RFM analysis, MBA and Apriori techniques were used.

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Recommender Systems

A study was conducted to develop different recommender systems on a three-year customer-product relationship data. SimpleSVD, NormalSVD, MidUserSVD, MidItemSVD, MidTotalSVD, KNN, KMeans, RFM analysis, MBA and Apriori techniques were used.

Designed Recommendation Systems

  1. Popularity-based Recommender System
  2. Content-based Recommender System
  3. Collaborative Filtering Recommender System - 1
  4. Collaborative Filtering Recommender System - 2
  5. Hybrid Recommender System

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MIT

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A study was conducted to develop different recommender systems on a three-year customer-product relationship data. SimpleSVD, NormalSVD, MidUserSVD, MidItemSVD, MidTotalSVD, KNN, KMeans, RFM analysis, MBA and Apriori techniques were used.

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