Tag

recommender

4 datasets
  • Jester Jokes and Joker Recommender System Ratings

    Offsite — Jester uses a collaborative filtering algorithm called Eigentaste to recommend jokes to you based on your ratings of previous jokes Three datasets: Dataset 1 contains over 4.1 million continuous ratings (-10.00 to +10.00) of 100 jokes, that’s right…jokes, from 73,421 users collected between April 1999 – May 2003, Dataset 2 contains Over 1.7 million continuous ratings ...
  • Free Book Usage Data from the University of Huddersfield

    Offsite — The University of Huddersfield released a major portion of their book circulation and recommendation data under an Open Data Commons/CC0 licence. In total, there’s data for over 80,000 titles derived from a pool of just under 3 million circulation transactions spanning a 13 year period. The data they’ve released essentially comes in two big chunks: 1) Circulation Data ...
  • Opinion Extraction, Opinion Mining, Sentiment Analysis, Summarization of Customer Reviews

    Offsite
  • Entree Chicago Recommendation Data

    Offsite — This data contains a record of user interactions with the Entree Chicago restaurant recommendation system. This is an interactive system that recommends restaurants to the user based on factors such as cuisine, price, style, atmosphere, etc. or based on similarity to a restaurant in another city (e.g. find me a restaurant similar to the Patina in Los Angeles). The user ...