Dataset Groups Activity Stream ML-1M The dataset used in this paper is a large-scale dataset for implicit feedback, consisting of user-item interactions, where each interaction is a pair of a user and an item. BibTex: @dataset{Yang_Zhang_and_Keqin_Bao_and_Ming_Yan_and_Wenjie_Wang_and_Fuli_Feng_and_Xiangnan_He_2024, abstract = {The dataset used in this paper is a large-scale dataset for implicit feedback, consisting of user-item interactions, where each interaction is a pair of a user and an item.}, author = {Yang Zhang and Keqin Bao and Ming Yan and Wenjie Wang and Fuli Feng and Xiangnan He}, doi = {10.57702/emcw5ctw}, institution = {No Organization}, keyword = {'Collaborative Filtering', 'Implicit feedback', 'Movie Recommendation', 'MovieLens-1M', 'Rating', 'Recommendation', 'Recommendation Systems', 'Recommendation systems', 'User-Item Interactions', 'User-item interactions', 'item interactions', 'item recommendation', 'user behavior'}, month = {dec}, publisher = {TIB}, title = {ML-1M}, url = {https://service.tib.eu/ldmservice/dataset/ml-1m}, year = {2024} }
