Zobrazeno 1 - 10
of 30
pro vyhledávání: '"suosittelujärjestelmät"'
Publikováno v:
Information Technology and Management. 24:115-131
The recommendation systems plays an important role in today’s life as it assist in reliable selection of common utilities. The code recommendation system is being used by the code databases (GitHub, source frog etc.) aiming to recommend the more ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2182d13ff150a09d08e14edd0306e10b
https://doi.org/10.1007/s10799-021-00355-3
https://doi.org/10.1007/s10799-021-00355-3
Publikováno v:
Computers in Human Behavior. 135:107343
In this study, we delve into the perceived quality of recommendations provided by AI-based virtual service assistants (VSAs). Specifically, the role of the social presence of VSAs in influencing recommendation perceptions is investigated. We also exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d58958a4fa739eb45c486a626bed1ced
https://doi.org/10.1016/j.chb.2022.107343
https://doi.org/10.1016/j.chb.2022.107343
Publikováno v:
Electronic Markets.
A Recommendation or Suggestion System (RSS) helps on-demand digital content and social media platforms identify associations amongst large amounts of transaction data, which are then used to provide personalised viewing and shopping recommendations t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::380b96d08e55b61d362c9219e119b46d
https://doi.org/10.1007/s12525-021-00478-z
https://doi.org/10.1007/s12525-021-00478-z
Publikováno v:
Lecture Notes in Information Systems and Organisation ISBN: 9783030867966
Streaming Video-on-demand (SVOD) services are getting increasingly popular. Current research, however, lacks knowledge about consumers’ content decision processes and their respective influencing factors. Thus, the work reported on in this paper ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d64eb829f9c1b864976b9038af514db6
https://doi.org/10.1007/978-3-030-86797-3_49
https://doi.org/10.1007/978-3-030-86797-3_49
Most recommender systems suggest items that are popular among all users and similar to items a user usually consumes. As a result, the user receives recommendations that she/he is already familiar with or would find anyway, leading to low satisfactio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9182455646315d6c0a842b1d778b9e46
http://urn.fi/URN:NBN:fi:jyu-202002102023
http://urn.fi/URN:NBN:fi:jyu-202002102023
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 2, Pp 639-645 (2020)
Nowadays, music platforms provide easy access to large amounts of music. They are working continuously to improve music organization and search management thereby addressing the problem of choice and simplify exploring new music pieces. Recommendatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52325ed0605d69bec569fa1a28ae59fa
http://urn.fi/URN:NBN:fi:jyu-202005073094
http://urn.fi/URN:NBN:fi:jyu-202005073094
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030157111
ECIR (1)
ECIR (1)
Neural embedding has been widely applied as an effective category of vectorization methods in real-world recommender systems. However, its exploration of users’ explicit feedback on items, to create good quality user and item vectors is still limit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0421a90b0c50fb36407c0cf2af793339
http://urn.fi/URN:NBN:fi:jyu-201912135255
http://urn.fi/URN:NBN:fi:jyu-201912135255
Autor:
Gaurav Pandey, Shuaiqiang Wang
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9783319920276
Matrix factorization (MF) is one of the most effective categories of recommendation algorithms, which makes predictions based on the user-item rating matrix. Nowadays many studies reveal that the ultimate goal of recommendations is to predict correct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b983df99416c1d49459db47560acc058
https://doi.org/10.1007/978-3-319-92028-3_3
https://doi.org/10.1007/978-3-319-92028-3_3
Publikováno v:
SAC
Over the past several years, research in recommender systems has emphasized the importance of serendipity, but there is still no consensus on the definition of this concept and whether serendipitous items should be recommended is still not a well-add
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bddefe1d00ab480e947b26dcbd2595ff
https://doi.org/10.1145/3167132.3167276
https://doi.org/10.1145/3167132.3167276