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Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit data

, , , and . Computers in Human Behavior, (2017)

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GraphSUM: Scalable Graph Summarization for Efficient Question Answering., , , , , and . EDBT, page 794-797. OpenProceedings.org, (2024)A systematic literature review on the state of research and practice of collaborative filtering technique and implicit feedback., and . Artif. Intell. Rev., 45 (2): 167-201 (2016)Sentiment analysis incorporating convolutional neural network into hidden Markov model.. Comput. Intell., (April 2024)Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit data, , , and . Computers in Human Behavior, (2017)An Effective Collaborative User Model Using Hybrid Clustering Recommendation Methods., , , and . Ingénierie des Systèmes d Inf., 26 (2): 151-158 (2021)Incremental Software Development Model for Solving Exam Scheduling Problems., and . SCDS, volume 937 of Communications in Computer and Information Science, page 216-229. Springer, (2018)The state of the art and taxonomy of big data analytics: view from new big data framework., , , , and . Artif. Intell. Rev., 53 (2): 989-1037 (2020)Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit data., , , and . Comput. Hum. Behav., (2017)A survey on data mining techniques in recommender systems., , and . Soft Comput., 23 (2): 627-654 (2019)An impact of time and item influencer in collaborative filtering recommendations using graph-based model., , and . Inf. Process. Manag., 56 (3): 526-540 (2019)