Zobrazeno 1 - 10
of 196
pro vyhledávání: '"Costas Vassilakis"'
On the Quality and Validity of Course Evaluation Questionnaires Used in Tertiary Education in Greece
Publikováno v:
Trends in Higher Education, Vol 3, Iss 2, Pp 221-234 (2024)
In compliance with national legislation, Greek tertiary education institutions assess educational quality often using a standardized anonymous questionnaire completed by students. This questionnaire aims to independently evaluate various course compo
Externí odkaz:
https://doaj.org/article/def4570774a44af9a50c6f5ebb322ac6
Autor:
Ilias Papadogiannis, Vassilis Poulopoulos, Nikos Platis, Costas Vassilakis, Georgios Lepouras, Manolis Wallace
Publikováno v:
Knowledge, Vol 3, Iss 3, Pp 513-524 (2023)
The GPA is a universally recognised and utilised metric of academic performance that is considered to also measure a student’s potential for academic performance in the future. In this short communication we examine to what extent the GPA of the fi
Externí odkaz:
https://doaj.org/article/f04f8cdc56c74ae8bcf45d71dd5ebe14
Autor:
Ilias Papadogiannis, Manolis Wallace, Vassilis Poulopoulos, Costas Vassilakis, Georgios Lepouras, Nikos Platis
Publikováno v:
Knowledge, Vol 3, Iss 3, Pp 349-363 (2023)
The remedial teaching policy is a flagship education policy of the Greek Ministry of Education that aims to create a school of equal opportunities by providing additional support to students from disadvantaged social backgrounds. In this work we util
Externí odkaz:
https://doaj.org/article/e87145e524fd411bb3771f0a3fb182b6
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 6, p 53 (2024)
Collaborative filtering is a popular recommender system (RecSys) method that produces rating prediction values for products by combining the ratings that close users have already given to the same products. Afterwards, the products that achieve the h
Externí odkaz:
https://doaj.org/article/fb1245dcd1214b2b8f417364071bcd9c
Publikováno v:
Journal of Theoretical and Applied Electronic Commerce Research, Vol 17, Iss 4, Pp 1383-1408 (2022)
The tourism sector increasingly relies on technology to acquire new clients in a world overflowing with information. So, the main question that needs to be answered is:What digital marketing strategy should be adopted to attract customers and built d
Externí odkaz:
https://doaj.org/article/a568e60e16b943359b8c10bc39c17bf2
Autor:
Vasilis Bouras, Dimitris Spiliotopoulos, Dionisis Margaris, Costas Vassilakis, Konstantinos Kotis, Angeliki Antoniou, George Lepouras, Manolis Wallace, Vassilis Poulopoulos
Publikováno v:
Algorithms, Vol 16, Iss 7, p 339 (2023)
Digital assistants—such as chatbots—facilitate the interaction between persons and machines and are increasingly used in web pages of enterprises and organizations. This paper presents a methodology for the creation of chatbots that offer access
Externí odkaz:
https://doaj.org/article/6fb8e7886e54477788c8d524e4aadbd4
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 2, p 59 (2023)
Collaborative filtering has proved to be one of the most popular and successful rating prediction techniques over the last few years. In collaborative filtering, each rating prediction, concerning a product or a service, is based on the rating values
Externí odkaz:
https://doaj.org/article/75fb975fbfd64b4eb4eed0a1cef5687c
Autor:
Dimitris Koryzis, Dionisis Margaris, Costas Vassilakis, Konstantinos Kotis, Dimitris Spiliotopoulos
Publikováno v:
Future Internet, Vol 15, Iss 2, p 66 (2023)
Exploitation and use of disruptive technologies, such as the Internet of Things, recommender systems, and artificial intelligence, with an ambidextrous balance, are a challenge, nowadays. Users of the technologies, and stakeholders, could be part of
Externí odkaz:
https://doaj.org/article/f0e1a4312d3c4927b4389a0a984220ab
Publikováno v:
IEEE Access, Vol 8, Pp 68301-68310 (2020)
When information from traditional recommender systems is augmented with information about user relationships that social networks store, more successful recommendations can be produced. However, this information regarding user relationships may not a
Externí odkaz:
https://doaj.org/article/4d527e3a392d40bca68ad71782cd5e14
Publikováno v:
Information, Vol 13, Iss 9, p 428 (2022)
One of the typical goals of collaborative filtering algorithms is to produce rating predictions with values very close to what real users would give to an item. Afterward, the items having the largest rating prediction values will be recommended to t
Externí odkaz:
https://doaj.org/article/3619fdadfcf349dbb57cb1e09ba055d8