Zobrazeno 1 - 10
of 37
pro vyhledávání: '"M. Jose"'
Autor:
Javier Paricio Royo, Macarena Trujillo, Lorena Atarés, M. Jose Canet, Amparo Fernandez-March, José Vte. Benlloch-Dualde
Publikováno v:
Education Sciences, Vol 11, Iss 539, p 539 (2021)
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Education Sciences
Volume 11
Issue 9
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Education Sciences
Volume 11
Issue 9
Pregraduate students often have low success expectations toward their thermodynamics courses, which are often considered too abstract and remarkably difficult to understand. For this reason, they may not even try to reach any level of comprehension w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37ef7c4c80fe17dd4d404a9238e681dd
https://doi.org/10.3390/educsci11090539
https://doi.org/10.3390/educsci11090539
Autor:
S. R. Reeja, Jisha M. Jose
Publikováno v:
Mobile Computing and Sustainable Informatics ISBN: 9789811618659
Recently, the application and systems are generating huge amounts of log data. With the rise of different applications in different domains that are deployed in every environment, it has become inevitable that a system may run into either functional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b000faed305209e744de5abe9fcba646
https://doi.org/10.1007/978-981-16-1866-6_59
https://doi.org/10.1007/978-981-16-1866-6_59
Publikováno v:
SIGIR
Learning user representations is a vital technique toward effective user modeling and personalized recommender systems. Existing approaches often derive an individual set of model parameters for each task by training on separate data. However, the re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf252421b645bbdd98f8e3e7d3001713
http://arxiv.org/abs/2009.13724
http://arxiv.org/abs/2009.13724
Publikováno v:
SIGIR
In session-based or sequential recommendation, it is important to consider a number of factors like long-term user engagement, multiple types of user-item interactions such as clicks, purchases etc. The current state-of-the-art supervised approaches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81ab11c74caca70804c156a03c6c0714
http://arxiv.org/abs/2006.05779
http://arxiv.org/abs/2006.05779
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 7:1-25
Despite the ever-increasing popularity of crowdsourcing (CS) in both industry and academia, procedures that ensure quality in its results are still elusive. We hypothesise that a CS design based on game theory can persuade workers to perform their ta
Publikováno v:
Information Processing & Management. 50:876-898
Combine grouping of video search results with recommendation techniques to assist video retrieval.Evaluate grouping and recommendation techniques in separate evaluations to assess impact.Different recommendation approaches are relevant to the users a
Publikováno v:
Educational Psychology. 36:675-690
There is growing evidence supporting the importance of executive functions, and specifically working memory updating (WMU), for children’s academic achievement. This study aimed to assess the specific contribution of updating to the prediction of a
Publikováno v:
ICTAI
Alkhawaldeh, R S, Jose, J M & Padmanabhan, D 2017, Clustering-based Query Routing in Cooperative Semi-structured Peer to Peer Networks . in Proceedings of the 28th International Conference on Tools with Artificial Intelligence (ICTAI 2016) . International Conference on Tools with Artificial Intelligence (ICTAI), Institute of Electrical and Electronics Engineers Inc., ICTAI 2016, San Jose, United States, 06/11/2016 . https://doi.org/10.1109/ICTAI.2016.0064
Alkhawaldeh, R S, Jose, J M & Padmanabhan, D 2017, Clustering-based Query Routing in Cooperative Semi-structured Peer to Peer Networks . in Proceedings of the 28th International Conference on Tools with Artificial Intelligence (ICTAI 2016) . International Conference on Tools with Artificial Intelligence (ICTAI), Institute of Electrical and Electronics Engineers Inc., ICTAI 2016, San Jose, United States, 06/11/2016 . https://doi.org/10.1109/ICTAI.2016.0064
We consider the problem of resource selection in clustered Peer-to-Peer Information Retrieval (P2P IR) networks with cooperative peers. The clustered P2P IR framework presents a significant departure from general P2P IR architectures by employing clu
Publikováno v:
ICTAI
Recommending users with preferred point-of-interests (POIs) has become an important task for location-based social networks, which facilitates users' urban exploration by helping them filter out unattractive locations. Although the influence of geogr
Publikováno v:
CHIIR
In addition to merging results of different types (e.g.~images, videos, news items) into a ranked list of Web documents, modern search engines have also started displaying entity cards (ECs) on the results page. Entity cards are intended to enhance s