A dynamic cold-start recommendation method based on incremental graph pattern matching
Y Zhang, G Yin, D Chen - International Journal of …, 2019 - inderscienceonline.com
Y Zhang, G Yin, D Chen
International Journal of Computational Science and Engineering, 2019•inderscienceonline.comIn order to give accurate recommendations for cold-start user who has few records,
researchers find similar users for cold-start user according to social network. However these
efforts assume that cold-start user's social relationships are static and ignore updating social
relationships are time consuming. In social network, cold-start user and other users may
change their social relationships as time passes. In order to give accurate and timely
recommendations for cold-start user, it is necessary to update similar users for cold-start …
researchers find similar users for cold-start user according to social network. However these
efforts assume that cold-start user's social relationships are static and ignore updating social
relationships are time consuming. In social network, cold-start user and other users may
change their social relationships as time passes. In order to give accurate and timely
recommendations for cold-start user, it is necessary to update similar users for cold-start …
In order to give accurate recommendations for cold-start user who has few records, researchers find similar users for cold-start user according to social network. However these efforts assume that cold-start user's social relationships are static and ignore updating social relationships are time consuming. In social network, cold-start user and other users may change their social relationships as time passes. In order to give accurate and timely recommendations for cold-start user, it is necessary to update similar users for cold-start users according to their latest social relationship continuously. In this paper, an incremental graph pattern matching based dynamic cold-start recommendation method (IGPMDCR) is proposed, which updates similar users for cold-start user based on topology of social network, and gives recommendations according to latest users similar to cold-start user. The experimental results show that IGPMDCR could give accurate and timely recommendations for cold-start user.
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