Jul 12, 2023 · In this paper, a hybrid recommender system is presented to meet the stated challenges, increase system performance and provide more accurate recommendations.
Jul 12, 2023 · The memory-based recommender systems have high accuracy but lack scalability. Also, the model-based systems are scalable but not accurate.
A hybrid semantic recommender system enriched with an imputation method. Payam Bahrani, Behrouz Minaei-Bidgoli, Hamid Parvin, Mitra Mirzarezaee, ...
Jul 12, 2023 · The memory-based recommender systems have high accuracy but lack scalability. Also, the model-based systems are scalable but not accurate.
Mar 5, 2024 · Therefore, our proposed HRS uses additive clustering to improve the prediction of the missing ratings if the target client is severely sparse.
Mar 5, 2024 · An HRS usually outperforms simple traditional recommender systems. The problems such as scalability, cold start, and sparsity belong to the main ...
Sep 17, 2021 · Our proposed method enhanced the dataset information by integrating user-based and item-based collaborative filtering techniques.
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Jun 5, 2024 · In this paper, it is tried to propose a hybrid model based on an automatically improved ontology to deal with the scalability, cold start, and ...
A hybrid recommendation system is defined as a framework that combines content-based and collaborative filtering recommendation systems to enhance performance.
Mar 14, 2024 · A hybrid semantic recommender system enriched with an imputation method. Article 12 July 2023. Exploiting Semantic and Social Information in ...