Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Anlei Dong"'
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b6db049218f5f93395ece2b57c72957
https://doi.org/10.1145/3543873.3589749
https://doi.org/10.1145/3543873.3589749
Autor:
Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan
Knowledge distillation is an effective way to transfer knowledge from a strong teacher to an efficient student model. Ideally, we expect the better the teacher is, the better the student. However, this expectation does not always come true. It is com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56ebd3e6f5324e0ca5f83dda691b090f
http://arxiv.org/abs/2209.13335
http://arxiv.org/abs/2209.13335
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030997380
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7f10f445b8a837d357cdfd630f4cad9
https://doi.org/10.1007/978-3-030-99739-7_18
https://doi.org/10.1007/978-3-030-99739-7_18
Publikováno v:
WWW
Contextual data plays an important role in modeling search engine users' behaviors on both query auto-completion (QAC) log and normal query (click) log. User's recent search history on each log has been widely studied individually as the context to b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48ef34fbe31fddb9b2a355ebdc986923
https://doi.org/10.1145/3038912.3052593
https://doi.org/10.1145/3038912.3052593
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 5:1-23
Web portal services have become an important medium to deliver digital content (e.g. news, advertisements, etc.) to Web users in a timely fashion. To attract more users to various content modules on the Web portal, it is necessary to design a recomme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47deba651f6da5332b7abc6ea6dfe58f
https://doi.org/10.1145/2493259
https://doi.org/10.1145/2493259
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 25:2161-2174
Web portal services have become an important medium to deliver digital content and service, such as news, advertisements, and so on, to Web users in a timely fashion. To attract more users to various content modules on the Web portal, it is necessary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8400cdba6e94b2b2045dad5f92cc3fc
https://doi.org/10.1109/tkde.2012.130
https://doi.org/10.1109/tkde.2012.130
Autor:
Ruiqiang Zhang, Anlei Dong, Yan Liu, Fernanodo Diaz, Hongyuan Zha, Pranam Kolari, Yoshiyuki Inagaki, Yi Chang
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 4:1-24
In Web search and vertical search, recency ranking refers to retrieving and ranking documents by both relevance and freshness. As impoverished in-links and click information is the the biggest challenge for recency ranking, we advocate the use of Twi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::752820867779f8c250122079229a44bd
https://doi.org/10.1145/2414425.2414429
https://doi.org/10.1145/2414425.2414429
Publikováno v:
WWW
Search tasks in users' query sequences are dynamic and interconnected. The formulation of search tasks can be influenced by multiple latent factors such as user characteristics, product features and search interactions, which makes search task identi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61d6bd35ecfc0c2a4b6841f22ad38e4e
https://doi.org/10.1145/2872427.2883047
https://doi.org/10.1145/2872427.2883047
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 4:1-24
As a commonly used unsupervised learning algorithm in Content-Based Image Retrieval (CBIR), Expectation-Maximization (EM) algorithm has several limitations, including the curse of dimensionality and the convergence at a local maximum. In this article
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95d04fa8b0e9fdea9a4e6c80655da5b2
https://doi.org/10.1145/1352012.1352014
https://doi.org/10.1145/1352012.1352014
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 20:352-368
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solely use the short-term learning experience and do not exploit the knowledge c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34af6e56263c8a16c2b3ef95ee03f5b9
https://doi.org/10.1109/tkde.2007.190697
https://doi.org/10.1109/tkde.2007.190697