Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Qiuli Tong"'
Publikováno v:
FEBS Open Bio, Vol 12, Iss 8, Pp 1542-1557 (2022)
Glucocorticoid‐induced TNF receptor‐related (GITR) can act as a co‐stimulatory receptor, representing a potential target for safely enhancing immunotherapy efficacy. GITR is triggered by a GITR ligand or an agonist antibody and activates CD8+ a
Externí odkaz:
https://doaj.org/article/18c31dff14264b6bb4e923947ba750a3
Publikováno v:
COMPSAC
Numerous algorithms have been proposed for detecting underlying community structure in social network. However, the majority of existing methods focus on modularity or structure similarity, and the effectiveness on complicated networks is still far f
Autor:
Qiuli Tong, Yeming Tang
Publikováno v:
ICIS
Recommender systems are widely used in today's online applications. Traditional rating-oriented methods predict user ratings on items, but they fail to capture user preference among different items. This paper regards recommendation problem as a rank
Publikováno v:
Web-Age Information Management ISBN: 9783319399577
WAIM (2)
WAIM (2)
With the information explosion on social network, personalized recommendation is eagerly required to assist users to obtain interesting news or tweets within limited time. Since retweeting history reveals users personal preferences in some degree, re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0c46a8b6bf4390da984f4f9998a5af3
https://doi.org/10.1007/978-3-319-39958-4_17
https://doi.org/10.1007/978-3-319-39958-4_17
Publikováno v:
Information Management and Management Engineering.
Publikováno v:
ICSAI
Search log provides valuable insight into user behavior and interest. By analyzing search log, website manager could have a better understanding on user behavior and interest, and the system design and user experience could be improved. This paper an
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2014 ISBN: 9783319111780
ICANN
ICANN
Collaborative filtering and Content-based filtering methods are two famous methods used by recommender systems. Restricted Boltzmann Machine(RBM) model rivals the best collaborative filtering methods, but it focuses on modeling the correlation betwee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ab83806a4afbeedd62e60643271076b
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789400776173
Learning Management System (LMS) has been widely used for delivering course materials or training to learners in most educational institutions. To provide collaborative learning activities, LMSs, such as Moodle and Claroline, provide students discuss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e51c3516b3ddf6e3c9223c1ffa0fb270
https://doi.org/10.1007/978-94-007-7618-0_67
https://doi.org/10.1007/978-94-007-7618-0_67
Publikováno v:
ICALT
Although numerous studies have been conducted on learning resources recommendation in E-Learning, research extending this investigation into usage of users' contextual information is rare. This paper presents an innovative architecture of an intellig
Autor:
Shaoquan Fang, Qiuli Tong
Publikováno v:
2011 6th International Conference on Computer Science & Education (ICCSE).
Software-as-a-Service (SaaS) is now a hot issue in both academia and business. Multi-tenant data storage as a fundamental component of a SaaS system draws much attention. The need of scalability and multi-tenant support in SaaS makes traditional RDBM