Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Beidou Wang"'
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 30:185-197
Product reviews are valuable for upcoming buyers in helping them make decisions. To this end, different opinion mining techniques have been proposed, where judging a review sentence's orientation (e.g., positive or negative) is one of their key chall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a3935c85eac31e89c77eeb180cae81c
https://doi.org/10.1109/tkde.2017.2756658
https://doi.org/10.1109/tkde.2017.2756658
Autor:
Deng Cai, Ziyu Guan, Junxiong Zhu, Beidou Wang, Wenwu Ou, Yu Gong, Yingcai Ma, Qingwen Liu, Yu Zhu
Publikováno v:
CIKM
Recently, interactive recommender systems are becoming increasingly popular. The insight is that, with the interaction between users and the system, (1) users can actively intervene the recommendation results rather than passively receive them, and (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c20554a02691b5ba0069d6333c56985f
https://doi.org/10.1145/3357384.3357805
https://doi.org/10.1145/3357384.3357805
Autor:
Ziyu Guan, Hongmin Liu, Wanxian Guan, Jiming Chen, Beidou Wang, Wei Zhao, Wei Ning, Guang Qiu, Boxuan Zhang
Publikováno v:
KDD
We study a novel problem of sponsored search (SS) for E-Commerce platforms: how we can attract query users to click product advertisements (ads) by presenting them features of products that attract them. This not only benefits merchants and the platf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f345c2f0a116b637bafff698dfe4947c
http://arxiv.org/abs/1907.12375
http://arxiv.org/abs/1907.12375
Publikováno v:
ICME
Distance metric learning has been shown to be an effective and efficient method which can lead to significant improvements in classification, clustering, and retrieval. Conventional metric learning methods which apply a global metric to capture the i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f2e513fac640cdaa7fd4a8d5cbccc41
https://doi.org/10.1109/icme.2019.00237
https://doi.org/10.1109/icme.2019.00237
Publikováno v:
IJCAI
In e-commerce websites like Taobao, brand is playing a more important role in influencing users' decision of click/purchase, partly because users are now attaching more importance to the quality of products and brand is an indicator of quality. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::673e29991e6e993131c9fd2c4575db9a
http://arxiv.org/abs/1805.08958
http://arxiv.org/abs/1805.08958
In recommender systems, cold-start issues are situations where no previous events, e.g. ratings, are known for certain users or items. In this paper, we focus on the item cold-start problem. Both content information (e.g. item attributes) and initial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b8710f8ef29a72b9f3f092b36b81783
Publikováno v:
IJCAI
Recently, Recurrent Neural Network (RNN) solutions for recommender systems (RS) are becoming increasingly popular. The insight is that, there exist some intrinsic patterns in the sequence of users' actions, and RNN has been proved to perform excellen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b2b48073a7e0abf4c59a02e1ac83faf
https://doi.org/10.24963/ijcai.2017/504
https://doi.org/10.24963/ijcai.2017/504
Publikováno v:
Neurocomputing. 119:243-252
A large number of data are generated in many real-world applications, e.g., photos of albums in social networks. Discovering meaningful patterns from them is desirable and still remains a big challenge. To this end, spectral clustering has establishe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b62ce1c2062270da2cd0e1f67fe5ef40
https://doi.org/10.1016/j.neucom.2013.03.034
https://doi.org/10.1016/j.neucom.2013.03.034
Publikováno v:
KDD
With email overload becoming a billion-level drag on the economy, personalized email prioritization is of urgent need to help predict the importance level of an email. Despite lots of previous effort on the topic, broadcast email, an important type o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a6d88fc84cf04f36fc6c4ad419fdee0
https://doi.org/10.1145/2939672.2939863
https://doi.org/10.1145/2939672.2939863
Publikováno v:
WWW
Email is one of the most important communication tools today, but email overload resulting from the large number of unimportant or irrelevant emails is causing trillion-level economy loss every year. Thus personalized email prioritization algorithms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c4720a386fbb7a8d3d377b72afeb459
https://doi.org/10.1145/2872427.2883049
https://doi.org/10.1145/2872427.2883049