Collaborative Generated Hashing for Market Analysis and Fast Cold-start Recommendation

ICLR 2020 Yan ZhangIvor W. TsangLixin DuanGuowu Yang

Cold-start and efficiency issues of the Top-k recommendation are critical to large-scale recommender systems. Previous hybrid recommendation methods are effective to deal with the cold-start issues by extracting real latent factors of cold-start items(users) from side information, but they still suffer low efficiency in online recommendation caused by the expensive similarity search in real latent space... (read more)

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