Trust-based Tourism Recommendation System Using Context-Aware Clustering
Nowadays, in the age of communication, the production and transmission of information are increasing rapidly. There are also many destinations in the tourism sector that are worth traveling, but increasing the number of suitable tourist destinations through the high volume of choices makes it harder...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Allameh Tabataba'i University Press
2020-12-01
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| Series: | Muṭāli̒āt-i Mudīriyyat-i Gardishgarī |
| Subjects: | |
| Online Access: | https://tms.atu.ac.ir/article_12114_c9cb1a18ad026d1a0a9494c377aa7fc6.pdf |
| _version_ | 1827399765281734656 |
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| author | AliAkbar Noorian Reza Ravanmehr Ali Harounabadi Fatemeh Nouri |
| author_facet | AliAkbar Noorian Reza Ravanmehr Ali Harounabadi Fatemeh Nouri |
| author_sort | AliAkbar Noorian |
| collection | DOAJ |
| description | Nowadays, in the age of communication, the production and transmission of information are increasing rapidly. There are also many destinations in the tourism sector that are worth traveling, but increasing the number of suitable tourist destinations through the high volume of choices makes it harder to choose the desired option. Therefore, the prioritization and personalization of the information have become a necessity for providing appropriate and effective recommendation. In this paper, considering the target user's location, a tourist recommendation system is proposed to suggest a perfect place for tourist accommodation using context information, trust criteria and graph clustering to increase the accuracy of recommendations. The experiments and evaluations on TripAdvisor dataset show that the proposed method suggests better results than other state-of-the-art methods. |
| first_indexed | 2024-03-08T19:50:55Z |
| format | Article |
| id | doaj.art-0cdacf4c6ef74b9b8c2919f6c9a18bc6 |
| institution | Directory Open Access Journal |
| issn | 2322-3294 2476-597X |
| language | fas |
| last_indexed | 2024-03-08T19:50:55Z |
| publishDate | 2020-12-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | Muṭāli̒āt-i Mudīriyyat-i Gardishgarī |
| spelling | doaj.art-0cdacf4c6ef74b9b8c2919f6c9a18bc62023-12-24T07:42:58ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Gardishgarī2322-32942476-597X2020-12-01155230934410.22054/tms.2020.41870.213712114Trust-based Tourism Recommendation System Using Context-Aware ClusteringAliAkbar Noorian0Reza Ravanmehr1Ali Harounabadi2Fatemeh Nouri3Ph.D. Student, Computer Engineering Department, Central Tehran Branch, Islamic Azad University, IranAssistant Professor, Computer Engineering Department, Central Tehran Branch, Islamic Azad University, IranAssistant Professor, Computer Engineering Department, Central Tehran Branch, Islamic Azad University, IranM.Sc., Computer Engineering Department, Central Tehran Branch, Islamic Azad University, IranNowadays, in the age of communication, the production and transmission of information are increasing rapidly. There are also many destinations in the tourism sector that are worth traveling, but increasing the number of suitable tourist destinations through the high volume of choices makes it harder to choose the desired option. Therefore, the prioritization and personalization of the information have become a necessity for providing appropriate and effective recommendation. In this paper, considering the target user's location, a tourist recommendation system is proposed to suggest a perfect place for tourist accommodation using context information, trust criteria and graph clustering to increase the accuracy of recommendations. The experiments and evaluations on TripAdvisor dataset show that the proposed method suggests better results than other state-of-the-art methods.https://tms.atu.ac.ir/article_12114_c9cb1a18ad026d1a0a9494c377aa7fc6.pdftourism recommendation systemgraph clusteringcontext-awaretrusttripadvisor |
| spellingShingle | AliAkbar Noorian Reza Ravanmehr Ali Harounabadi Fatemeh Nouri Trust-based Tourism Recommendation System Using Context-Aware Clustering Muṭāli̒āt-i Mudīriyyat-i Gardishgarī tourism recommendation system graph clustering context-aware trust tripadvisor |
| title | Trust-based Tourism Recommendation System Using Context-Aware Clustering |
| title_full | Trust-based Tourism Recommendation System Using Context-Aware Clustering |
| title_fullStr | Trust-based Tourism Recommendation System Using Context-Aware Clustering |
| title_full_unstemmed | Trust-based Tourism Recommendation System Using Context-Aware Clustering |
| title_short | Trust-based Tourism Recommendation System Using Context-Aware Clustering |
| title_sort | trust based tourism recommendation system using context aware clustering |
| topic | tourism recommendation system graph clustering context-aware trust tripadvisor |
| url | https://tms.atu.ac.ir/article_12114_c9cb1a18ad026d1a0a9494c377aa7fc6.pdf |
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