Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Phatpicha Yochum"'
Publikováno v:
IEEE Access, Vol 8, Pp 16409-16439 (2020)
Linked open data is a relatively new topic area with great potential in a wide range of fields. In the tourism domain, many studies are using linked open data to address the problem of location-based recommendation by integrating data with other link
Externí odkaz:
https://doaj.org/article/995bebd07af04ef8b1196e8e2cfbe7bf
Publikováno v:
IEEE Access, Vol 8, Pp 88147-88157 (2020)
Traveling as a very popular leisure activity enjoyed by many people all over the world. Typically, tourists have different kinds of preferences about their itineraries, limited time budgets, unfamiliar with the wide range of Points-of-Interest (POIs)
Externí odkaz:
https://doaj.org/article/94e2acf153ea4ef79940fecc822c6160
Publikováno v:
Proceedings of the 2022 10th International Conference on Information Technology: IoT and Smart City.
Publikováno v:
International Journal of Machine Learning and Computing. 11:12-20
With the rapid development of Internet, various unstructured information, such as user-generated content, textual reviews, and implicit or explicit feedbacks have grown continuously. Though structured knowledge bases (KBs) which consist of a large nu
Publikováno v:
IEEE Access, Vol 8, Pp 88147-88157 (2020)
Traveling as a very popular leisure activity enjoyed by many people all over the world. Typically, tourists have different kinds of preferences about their itineraries, limited time budgets, unfamiliar with the wide range of Points-of-Interest (POIs)
Publikováno v:
IFIP Advances in Information and Communication Technology
11th International Conference on Intelligent Information Processing (IIP)
11th International Conference on Intelligent Information Processing (IIP), Jul 2020, Hangzhou, China. pp.133-145, ⟨10.1007/978-3-030-46931-3_13⟩
IFIP Advances in Information and Communication Technology ISBN: 9783030469306
Intelligent Information Processing
11th International Conference on Intelligent Information Processing (IIP)
11th International Conference on Intelligent Information Processing (IIP), Jul 2020, Hangzhou, China. pp.133-145, ⟨10.1007/978-3-030-46931-3_13⟩
IFIP Advances in Information and Communication Technology ISBN: 9783030469306
Intelligent Information Processing
Part 3: Recommendation System; International audience; Traveling as a very popular leisure activity enjoyed by many people all over the world. Typically, people would visit the POIs that are popular or special in a city and also have desired starting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ee223d9f29bce49a80f07efbf102ec1
https://hal.inria.fr/hal-03456985/document
https://hal.inria.fr/hal-03456985/document
Publikováno v:
Journal of Physics: Conference Series. 1437:012047
Although the traditional recommendation algorithm has achieved good results in the field of travel recommendation, due to the lack of data, the cold start and data sparseness problems and the neglect of the semantic problems hidden in the travel trac
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783030008277
Intelligent Information Processing
Intelligent Information Processing
This paper focuses on building recommendation model based on knowledge graph in the tourism field. A knowledge graph for tourist attractions in the Bangkok city is constructed, and a tourist attraction recommendation model based on the knowledge grap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::646f791f4b3e6cc321a61dce33919bb0
https://doi.org/10.1007/978-3-030-00828-4_9
https://doi.org/10.1007/978-3-030-00828-4_9
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811322020
ICPCSEE (1)
ICPCSEE (1)
Representation learning aims to represent the entities and relations in a knowledge graph as dense, low-dimensional and real-valued vectors by machine learning. The translation-based model is a typical representation learning method and has shown goo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b944345744349af6a48075ef38b7196b
https://doi.org/10.1007/978-981-13-2203-7_29
https://doi.org/10.1007/978-981-13-2203-7_29
Publikováno v:
Applied Sciences (2076-3417); Jun2024, Vol. 14 Issue 12, p5195, 32p