Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Naime Ranjbar Kermany"'
Publikováno v:
Future Generation Computer Systems. 147:30-43
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0afc540cea5d38c28e692d84f903cb89
https://doi.org/10.1016/j.future.2023.04.029
https://doi.org/10.1016/j.future.2023.04.029
Publikováno v:
Sixteenth ACM Conference on Recommender Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e51b36d28500a54751729fd75cf11b7f
https://doi.org/10.1145/3523227.3547388
https://doi.org/10.1145/3523227.3547388
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8af8291d178cc38811c95910f3f9ae0c
https://doi.org/10.2139/ssrn.4165425
https://doi.org/10.2139/ssrn.4165425
Publikováno v:
Service-Oriented Computing ISBN: 9783031209833
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0c04f5a4c17efb796053ff5af23d300
https://doi.org/10.1007/978-3-031-20984-0_23
https://doi.org/10.1007/978-3-031-20984-0_23
Publikováno v:
SCC
In this work, we propose an ethical multi-stakeholder recommender system that uses a multi-objective evolutionary algorithm to make a trade-off between provider coverage, long-tail services inclusion, and recommendation accuracy. Experimental results
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bb78ce170b23340d5143462f2d0adca
https://doi.org/10.1109/scc49832.2020.00074
https://doi.org/10.1109/scc49832.2020.00074
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811532801
WISE Workshops
WISE Workshops
We present ReInCre (Demo video available at https://youtu.be/MyFczz7Vefo) as a solution demo for incorporating user rating credibility in Collaborative Filtering (CF) approach to enhance the recommendation performance. The credibility values of users
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c58fc2359be949aea8316453d3d2279
https://hdl.handle.net/10453/149391
https://hdl.handle.net/10453/149391
Publikováno v:
Electronic Commerce Research and Applications. 21:50-64
A new semantic technique is presented to calculate the similarity between items.A new demographic similarity measure is applied between each pair of users.A convex combination of both user- and movie-based similarities is used.A Fuzzy-based weighting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8245bc235537035988aeb132990fe52d
https://doi.org/10.1016/j.elerap.2016.12.005
https://doi.org/10.1016/j.elerap.2016.12.005
Publikováno v:
Web of Science
This work is presenting a method to assist customers with their purchasing enquiries using fuzzy forecasting method by segmenting them to specific groups. After customer segmentation, we could forecast customer requirements. Customer Segmentation is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5461fd391df8d581018a1307e9e2ea6
https://publons.com/wos-op/publon/53704688/
https://publons.com/wos-op/publon/53704688/