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Cheng et al., 2019 - Google Patents

MMALFM: Explainable recommendation by leveraging reviews and images

Cheng et al., 2019

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Document ID
3532768358077746471
Author
Cheng Z
Chang X
Zhu L
Kanjirathinkal R
Kankanhalli M
Publication year
Publication venue
ACM Transactions on Information Systems (TOIS)

External Links

Snippet

Personalized rating prediction is an important research problem in recommender systems. Although the latent factor model (eg, matrix factorization) achieves good accuracy in rating prediction, it suffers from many problems including cold-start, non-transparency, and …
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Classifications

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    • G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
    • G06F17/30023—Querying
    • G06F17/30029—Querying by filtering; by personalisation, e.g. querying making use of user profiles
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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