Zobrazeno 1 - 10
of 351
pro vyhledávání: '"Preference-based method"'
Akademický článek
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Autor:
Fortes, Reinaldo Silva, de Sousa, Daniel Xavier, Coelho, Dayanne G., Lacerda, Anisio M., Gonçalves, Marcos A.
Publikováno v:
In Information Sciences September 2021 572:558-573
Publikováno v:
In Knowledge-Based Systems 1 November 2019 183
Autor:
Marcos André Gonçalves, Anisio Lacerda, Dayanne Gouveia Coelho, Reinaldo Silva Fortes, Daniel Xavier de Sousa
Publikováno v:
Information Sciences. 572:558-573
Recommender Systems (RSs) make personalized suggestions of relevant items to users. However, the concept of relevance may involve different quality aspects (objectives), such as accuracy, novelty, and diversity. In addition, users may have their own
Autor:
Wall, Kent D.1, Correia, Charles2
Publikováno v:
Journal of Forecasting. Jul-Sep89, Vol. 8 Issue 3, p269-292. 24p. 12 Charts, 8 Graphs.
Publikováno v:
2021 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR 2021).
The 3rd Generation Partnership Project (3GPP) organization has considered Ultra Reliable Low Latency Communications (URLLC)’s low latency requirement and spectrum resources shortage. So it has proposed a multiplexing enhanced Mobile Broad Band (eMB
Autor:
Linehan, Shawna1 (AUTHOR), Nizami, SaroshN.1 (AUTHOR), Bagajewicz, Miguel1 (AUTHOR) bagajewicz@ou.edu
Publikováno v:
Chemical Engineering Communications. Feb2011, Vol. 198 Issue 2, p255-272. 18p. 2 Diagrams, 2 Charts, 14 Graphs.
Publikováno v:
CEC
A surrogate model is normally employed to evaluate an individual instead of time-consuming and expensive simulation. Inaccuracy model learning by the limited samples may mislead the evolution process. Thus, effectively updating the model by learning
Conference
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Publikováno v:
Knowledge-Based Systems. 183:104889
Location recommendation in a city district plays an essential role for people city experience. Most existing studies consider user mobility data as implicit feedback, and adopt collaborative filtering frameworks to make recommendations. However, most