WP5 – Stage 1 – Intelligent customer service recommendation
Planned activities during stage 1
Activity 5.1
Development of new community-based models for service recommendation.
Activity 5.2
Development of new models based on clusters to recommend services.
Activity 5.3
Development of new hybrid models for service recommendation.
Results achieved during stage 1
- Under this work package, new efficient and effective models for intelligent service recommendation have been developed in order to facilitate the process of optimizing the choice of services by users.
- The results achieved in this work package are presented in accepted or sent for publication scientific publications, as follows:
- In magazines with impact factor/rank – 3 publications.
- In papers of conferences, refereed in WoS/Scopus – 3 publications.
[5.4] H. Zhang, I. Ganchev, N. S. Nikolov. 2020. “FeatureMF – A Novel Collaborative Filtering Recommendation Model”. Proc. of the 2020 International Conference on Mathematics and Computers In Science and Engineering (MACISE 2020), Pp. 34-37, 18-20 January, Madrid, Spain. (virtual event) IEEE Catalog Number: CFP20S31-ART. ISBN: 978-1-7281-7177-7 / 978-1-7281-6695-7. DOI: 10.1109/MACISE49704.2020.00014. WoS; Scopus.
https://ieeexplore.ieee.org/document/9195572/ ;
https://www.webofscience.com/wos/woscc/full-record/WOS:000635100900008 ;
https://www.scopus.com/record/display.uri?eid=2-s2.0-85092715988&origin=resultslist[5.5] H. Zhang, I. Ganchev, N. S. Nikolov. 2020. “Matrix Factorization Enriched with Item Features”. Proc. of the 2020 International Conference on Mathematics and Computers In Science and Engineering (MACISE 2020), Pp. 77-80, 18-20 January, Madrid, Spain. (virtual event) IEEE Catalog Number: CFP20S31-ART. ISBN: 978-1-7281-7177-7 / 978-1-7281-6695-7. DOI: 10.1109/MACISE49704.2020.00020. WoS, Scopus.
https://ieeexplore.ieee.org/document/9195608/ ;
https://www.webofscience.com/wos/woscc/full-record/WOS:000635100900014 ;
https://www.scopus.com/record/display.uri?eid=2-s2.0-85092745328&origin=resultslist[5.6] H. Zhang, I. Ganchev, N. S. Nikolov, M. Stevenson. 2021. “UserReg: A Simple but Strong Model for Rating Prediction”. Proc. of 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP 2021). Pp. 3595-3599. 6-11 June 2021, Toronto, Ontario, Canada (virtual event). ISSN: 0736-7791. eISSN: 2379-190X. ISBN: 978-1-7281-7605-5. DOI: 10.1109/ICASSP39728.2021.9413646.
WoS; Scopus, SJR2020=0,546.
https://ieeexplore.ieee.org/document/9413646 ;
https://www.webofscience.com/wos/woscc/full-record/WOS:000704288403170 ;
https://www.scopus.com/record/display.uri?eid=2-s2.0-85111595137&origin=resultslist ; https://www.scimagojr.com/journalsearch.php?q=110544&tip=sid&clean=0[5.7] I. Ganchev, H. Zhang, M. O’Droma. 2021. “Smart Recommendation of Telecommunication Services” (invited paper). Proc. of the 29th National Conference with International Participation "TELECOM 2021", Pp. 1-8, 28-29 October, Sofia, Bulgaria. (virtual event) ISBN: 978-1-6654-3345-7. eISBN: 978-1-6654-3344-0. DOI: 10.1109/TELECOM53156.2021.9659557.
(published; to be referenced and indexed in Scopus).
https://ieeexplore.ieee.org/document/9659557 ;
https://www.scopus.com/results/results.uri?sort=plf-f&src=s&st1=National+Conference+with+International+Participation+%22TELECOM%22&sid=2cc1c2e4a0ced675c164f474afa2f7c8&sot=b&sdt=b&sl=68&s=CONF%28National+Conference+with+International+Participation+%22TELECOM%22%29&origin=searchbasic&editSaveSearch=&yearFrom=Before+1960&yearTo=Present