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Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3077361
Abstract: Recommender systems are important approaches for dealing with the information overload problem in the big data era, and various kinds of auxiliary information, including time and sequential information, can help improve the performance of retrieval…
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Keywords:
attention;
multivariate hawkes;
sequential recommendation;
recommendation ... See more keywords
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Published in 2022 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2022.3186513
Abstract: User-Review Social Networks (URSNs) now become the targets of Sybil attacks, where fake reviews are posted by attackers to raise the reputation of listed services or products. Unlike previous fake accounts on Twitter or Weibo,…
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Keywords:
review social;
social networks;
hawkes process;
stimuli hawkes ... See more keywords
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Published in 2022 at "Entropy"
DOI: 10.3390/e24020214
Abstract: Traders who instantly react to changes in the financial market and place orders in milliseconds are called high-frequency traders (HFTs). HFTs have recently become more prevalent and attracting attention in the study of market microstructures.…
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Keywords:
high frequency;
multivariate hawkes;
hawkes process;
frequency traders ... See more keywords
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Published in 2023 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.1368
Abstract: The dynamic recommender system realizes the real-time recommendation for users by learning the dynamic interest characteristics, which is especially suitable for the scenarios of rapid transfer of user interests, such as e-commerce and social media.…
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Keywords:
linear complexity;
self attention;
hawkes process;
dynamic graph ... See more keywords