18 datasets found

Groups: Recommendation Systems Organizations: No Organization

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  • Anime

    The dataset is a two-mode tensor depicting binary (user, anime) preferences. The tensor contains 1, 300, 160 observed entries, of size 25, 838 × 4, 066.

  • Amazon dataset

    The Amazon dataset is used to evaluate the performance of the proposed approach. It consists of 2000 users, 1500 items, 86690 reviews, 7219 number ratings, 3.6113 average number...

  • Netflix

    A dataset for interactive recommender systems, used to evaluate the proposed Tree-structured Policy Gradient Recommendation (TPGR) framework.

  • Epinions

    The Epinions dataset is a large-scale opinion mining dataset. It contains 1 million user-item interactions and is widely used for evaluating the performance of recommender systems.

  • MovieLens 1M

    The associated task is to predict the movie rating on a 5-star scale. This dataset contains 6,040 users, 3,900 movies, and 1,000,209 ratings, i.e., rating matrix is 4.26% full.

  • CiteULike

    CiteULike is a user-article dataset, where each article has a 300-dimension tf-idf vector. XING is a user-view-job dataset where each job is described by a 2738-dimension...

  • Book-Crossing

    The Book-Crossing dataset is a book rating dataset that contains rating records of books by users from the Book-Crossing community.

  • Yelp2018

    The dataset used in this paper for recommendation system, it is a bipartite graph of user-item interactions.

  • MovieLens-100k

    The dataset used in the paper is a user-item bipartite graph, where each user and item is represented as a node, and the edges between them represent the interactions between...

  • Douban

    Click-Through Rate (CTR) prediction plays a core role in recommender systems, serving as the final-stage filter to rank items for a user. The key to addressing the CTR task is...

  • MovieLens-100K and MovieLens-1M

    MovieLens-100K and MovieLens-1M datasets are used for performance testing of comparative experiments.

  • MovieLens dataset

    The MovieLens dataset contains questions answerable using Wikidata as the knowledge graph, focusing on questions with a single entity and relation.

  • MovieLens

    The dataset is a movie review dataset with five types of nodes (movie, director, tag, writer, and user) and four types of edges (movie-director relation, movie-tag relation,...

  • ML-20M

    A recommender system generates personalized recommendations for a user by computing the preference score of items, sorting the items according to the score, and filtering top-K...

  • Amazon

    The dataset used in the paper is a series of datasets introduced in [46], comprising large corpora of product reviews crawled from Amazon.com. Top-level product categories on...

  • Amazon-Book

    The Amazon-Book dataset contains user-item interaction data, which is used to evaluate the performance of recommender systems.

  • Gowalla

    The Gowalla dataset contains user-item interaction data, which is used to evaluate the performance of recommender systems.

  • Amazon Electronics

    The dataset is used for click-through rate (CTR) prediction task in recommender systems.