Zobrazeno 1 - 10
of 698
pro vyhledávání: '"Group recommendation"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-22 (2024)
Abstract In the process of group recommendation, due to the different preferences of group members, the recommendation results cannot meet the needs of all users. How to maximize the fairness of group recommendation is still a challenge. Therefore, t
Externí odkaz:
https://doaj.org/article/3da421f4d8d841dbb8bd76a03ec4db30
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 5, Pp 1368-1382 (2024)
Existing group recommendation models often have a monotonous approach when solving user representation, and only simple social relationships between users are utilized. This makes user representation inaccurate and most models do not consider the imp
Externí odkaz:
https://doaj.org/article/70648965c53945f28c66aa94892aa155
Autor:
Tao Hong, Noor Farizah Ibrahim
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 5, Pp 102063- (2024)
The ongoing advancement of social network platforms has increased the frequency of group activities. Due to the varied composition of group members, recommending items that align with the preferences of the entire group becomes a challenge. Existing
Externí odkaz:
https://doaj.org/article/b7f401afa151484d96cd111340b53040
Publikováno v:
Journal of Universal Computer Science, Vol 30, Iss 1, Pp 106-129 (2024)
Recommender systems (RSs) are a relevant kind of artificial intelligence-based systems focused on providing users with the information that best fit their preferences and needs in a search space overloaded of possible options. Specifically, group rec
Externí odkaz:
https://doaj.org/article/c7bf48ac50d04068b252c2e7d567f5cf
Autor:
Zhang Hui
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In the traditional teaching mode, the cultivation of students’ practical application ability and innovation ability is neglected, and the innovative reform of blended teaching in statistics practice class of economics and management is imperative.
Externí odkaz:
https://doaj.org/article/3274b32664e044c190cc8a0346547fc1
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, for a large amount of text content such as college students’ innovation and entrepreneurship education practice, considering the problem of directionality, based on the idea of a recommendation algorithm, we use word similarity and T
Externí odkaz:
https://doaj.org/article/8c452a4b879e4763b8d05ff923040ea1
Publikováno v:
The Electronic Library, 2023, Vol. 41, Issue 2/3, pp. 326-346.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EL-11-2022-0252
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4155 (2024)
Group recommender systems aim to provide recommendations to a group of users as a whole rather than to individual users. Nonetheless, prevailing methodologies predominantly aggregate user preferences without adequately accounting for the unique indiv
Externí odkaz:
https://doaj.org/article/a8314ae3a6f34477aa2f15c8f987629f
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 2, Pp 499-510 (2023)
In recent years, event-based social networks (EBSN) have gradually become an effective way for people to choose social events, and how to accurately recommend events to users or groups in need has become an important topic in this field. Next item re
Externí odkaz:
https://doaj.org/article/45e293eca8e944f5be4790765375946e
Autor:
Tao Hong, Noor Farizah Ibrahim
Publikováno v:
IEEE Access, Vol 11, Pp 74828-74838 (2023)
With the rapid development of social networks, online and offline group activities are becoming more common and diverse. Considering the different interests of group members, the recommendation service for a group is more challenging than the common
Externí odkaz:
https://doaj.org/article/49888d812110451bb9d1b0e53d153680