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CSLIM: Contextual SLIM Recommendation Algorithms: Yong Zheng Bamshad Mobasher Robin Burke by newsxrec is a document available to read on EtoBox.

The paper introduces the Contextual SLIM (CSLIM) recommendation algorithm, which enhances context-aware recommender systems by incorporating contextual conditions into the sparse linear method (SLIM) for improved Top-N recommendations. Experimental evaluations demonstrate that CSLIM outperforms existing context-aware recommendation algorithms, particularly in scenarios with multiple contextual variables. The proposed method effectively models contextual dependencies, allowing for more accurate predictions o

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newsxrec

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EN