Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Yunshan Ma"'
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 9, Pp 557-569 (2021)
AbstractTracking dialogue states to better interpret user goals and feed downstream policy learning is a bottleneck in dialogue management. Common practice has been to treat it as a problem of classifying dialogue content into a set of pre-defined sl
Externí odkaz:
https://doaj.org/article/b79d5b1d66404d1a9fd222de41a4aa1a
Publikováno v:
ACM Transactions on Information Systems. Jan2024, Vol. 42 Issue 1, p1-27. 27p.
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:2485-2496
Conversational systems have recently attracted significant attention. Both the research community and industry believe that it will exert huge impact on human-computer interaction, and specifically, the IR/RecSys community has begun to explore Conver
Publikováno v:
IEEE Transactions on Multimedia. 24:2687-2700
Fashion recommendation, aiming to explore specific user preference in fashion, has become an important research topic for its practical significance to the fashion business sector. However, little work has been done on an important sub-task called se
Bundle recommendation aims to recommend a bundle of related items to users, which can satisfy the users' various needs with one-stop convenience. Recent methods usually take advantage of both user-bundle and user-item interactions information to obta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbbd5c24b3365f3b1f598e8da0b5bf00
Autor:
Hong-Han Shuai, Wai Keung Wong, Xun Yang, Lizi Liao, Jinyoung Moon, Yunshan Ma, Tat-Seng Chua, Yujuan Ding
Publikováno v:
ICMR
Wai Keung Wong
Wai Keung Wong
This companion paper supports the replication of the fashion trend forecasting experiments with the KERN (Knowledge Enhanced Recurrent Network) method that we presented in the ICMR 2020. We provide an artifact that allows the replication of the exper
Publikováno v:
ICMR
Wai Keung Wong
Wai Keung Wong
Sequential fashion recommendation is of great significance in online fashion shopping, which accounts for an increasing portion of either fashion retailing or online e-commerce. The key to building an effective sequential fashion recommendation model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9a9b8b848110f9ffc485c8b0029ff2c
http://arxiv.org/abs/2105.07585
http://arxiv.org/abs/2105.07585
Publikováno v:
Wai Keung Wong
Fashion trend forecasting is of great research significance in providing useful suggestions for both fashion companies and fashion lovers. Although various studies have been devoted to tackling this challenging task, they only studied limited fashion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afe3b3c7e4f77a980c173107fe525efa
Publikováno v:
Wai Keung Wong
ICMR
ICMR
Fashion trend forecasting is a crucial task for both academia and industry. Although some efforts have been devoted to tackling this challenging task, they only studied limited fashion elements with highly seasonal or simple patterns, which could har
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ad7a675c03f7289d037dc112c3bc52a
http://arxiv.org/abs/2005.03297
http://arxiv.org/abs/2005.03297
Publikováno v:
ACM Multimedia
Fashion knowledge helps people to dress properly and addresses not only physiological needs of users, but also the demands of social activities and conventions. It usually involves three mutually related aspects of: occasion, person and clothing. How
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de6909d6de73f2f03b6444472dd329fe
http://arxiv.org/abs/1908.08985
http://arxiv.org/abs/1908.08985