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RecommenderSystem

In this post, I will present some benchmark datasets for recommender system, please note that I will only give the links of those datasets. Courtesy of entaroadun.

DataSets

Amazon Product Data:

Mobile Recommendation:

  • Data Set for Mobile App Retrieval link
  • frappe link
  • Ali_Mobile_Rec link1 ; link2
  • Mobile App User Dataset link

Movies Recommendation:

  • MovieLens - Movie Recommendation Data Sets link
  • Yahoo! - Movie, Music, and Images Ratings Data Sets link
  • Cornell University - Movie-review data for use in sentiment-analysis experiments link
  • Netflix Prize Dataset link
  • MovieTweetings - link

Joke Recommendation:

  • Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) link

Music Recommendation:

  • Last.fm - Music Recommendation Data Sets link
  • Yahoo! - Movie, Music, and Images Ratings Data Sets link
  • Audioscrobbler - Music Recommendation Data Sets link
  • Amazon - Audio CD recommendations link

Books Recommendation:

  • Institut für Informatik, Universität Freiburg - Book Ratings Data Sets link

Food Recommendation:

  • Chicago Entree - Food Ratings Data Sets link

Merchandise Recommendation:

  • Amazon - Product Recommendation Data Sets link

Healthcare Recommendation:

  • Nursing Home - Provider Ratings Data Set link
  • Hospital Ratings - Survey of Patients Hospital Experiences link

Dating Recommendation:

Scholarly Paper Recommendation:

  • National University of Singapore - Scholarly Paper Recommendation link

Reports