0000000001026468

AUTHOR

Tat-seng Chua

showing 2 related works from this author

Cross-Social Network Collaborative Recommendation

2015

Online social networks have become an essential part of our daily life, and an increasing number of users are using multiple online social networks simultaneously. We hypothesize that the integration of data from multiple social networks could boost the performance of recommender systems. In our study, we perform cross-social network collaborative recommendation and show that fusing multi-source data enables us to achieve higher recommendation performance as compared to various single-source baselines.

World Wide WebSocial networkComputer sciencebusiness.industryRecommender systembusinessProceedings of the ACM Web Science Conference
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Neural Multimodal Belief Tracker with Adaptive Attention for Dialogue Systems

2019

Multimodal dialogue systems are attracting increasing attention with a more natural and informative way for human-computer interaction. As one of its core components, the belief tracker estimates the user's goal at each step of the dialogue and provides a direct way to validate the ability of dialogue understanding. However, existing studies on belief trackers are largely limited to textual modality, which cannot be easily extended to capture the rich semantics in multimodal systems such as those with product images. For example, in fashion domain, the visual appearance of clothes play a crucial role in understanding the user's intention. In this case, the existing belief trackers may fail …

Modality (human–computer interaction)Computer science02 engineering and technology010501 environmental sciencesSemanticsUniversity Growth Strategy Limits to Growth Executive Education Knowledge Ecosystem Causal Loop Diagram01 natural sciencesDomain (software engineering)Settore SECS-P/07 - Economia AziendaleHuman–computer interaction0202 electrical engineering electronic engineering information engineeringNatural (music)020201 artificial intelligence & image processing0105 earth and related environmental sciencesThe World Wide Web Conference
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