The MovieLens datasets, first released in 1998, describe people’s expressed preferences for movies. These preferences take the form of tuples, each the result of a person expressing a preference (a 0-5 star rating) for a movie at a particular time. These preferences were entered by way of the MovieLens web site1 — a recommender system that asks its users to give movie ratings in order to receive personalized movie recommendations.
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A dataset consisting of recipient 46 users and, 26180 tweets. The dataset includes the news feed of the users and 13 features that may influence the relevance of the tweets.
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Wyze Rule Recommendation Dataset. It is a big dataset with 300,000 users. Please cite [1] if you used the dataset and cite [2] if you referenced the algorithm.
X-Wines is a consistent wine dataset containing 100,646 instances and 21 million real evaluations carried out by users. Data were collected on the open Web in 2022 and pre-processed for wider free use. They refer to the scale 1–5 ratings carried out over a period of 10 years (2012–2021) for wines produced in 62 different countries.
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