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23 May 2023 A novel collaborative filtering algorithm by making recommendations from curious users
Qianru Zheng
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Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126044J (2023) https://doi.org/10.1117/12.2674848
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China
Abstract
Social curiosity indicates that a user is interested in what other peoples viewed and selected. The idea of UserCF fits matches the social curiosity concept by generating the recommendation from the similar users. However, many studies indicate that UserCF tends to recommend the item similar to what the user has chosen and the user may be bored with such kind of recommendation. To address the issue of UserCF, we propose a novel scheme called CuriCF, which makes recommendation from the curious users who are more active to try the new and different items. And then recommendations with high relevance and high difference are generated from the curious users. Experimental results demonstrate that our CuriCF recommends the items not only fitting the user’s preference but also different from what the user has chosen.
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Qianru Zheng "A novel collaborative filtering algorithm by making recommendations from curious users", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126044J (23 May 2023); https://doi.org/10.1117/12.2674848
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KEYWORDS
Data analysis
Data mining
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