User Profile based tourism recommendation
| dc.contributor.guide | Rajeswari Sridhar | |
| dc.coverage.spatial | User Profile based tourism recommendation | |
| dc.creator.researcher | Jobi Vijay | |
| dc.date.accessioned | 2023-02-18T10:52:21Z | |
| dc.date.available | 2023-02-18T10:52:21Z | |
| dc.date.awarded | 2021 | |
| dc.date.completed | 2021 | |
| dc.date.registered | ||
| dc.description.abstract | Internet and Social Network (SN) have become crucial and important parts of people s life because they facilitate instantaneous data sharing and information dissemination. Users post their views, comments, reviews, photos and geotagged locations in social media. They also receive comments, likes and shares for their posts. Due to an increase in the use of social network, huge volume of data is generated online. These user-generated contents (UGC) are a rich source of information and consist of hidden insights and knowledge. This necessitates to filter unwanted data and retrieve useful data from social network for further analysis and convert it into meaningful information. newlineRecommendation systems help converting retrieved data into useful information. Recommendation systems are available for products in E-commerce, advertisements, movies, music, social network, etc. This recommendation system has also influenced the tourism industry for recommending tourists spots, hotel and travel plans. newlineThus, the boom of the social network has fundamentally restructured the travel and tourism industry. Social networks and travel and tourism websites have gained popularity among tourist and travellers to post their travel-related comments, personal experiences, opinions, that serve as an important information for others. They also rely on information posted by others to make their travel plans. This user-generated content using social network and travel tourism websites are used as great information source for recommending tourist spots. newline | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | None | |
| dc.format.dimensions | 21cm | |
| dc.format.extent | xxii,162p. | |
| dc.identifier.uri | http://hdl.handle.net/10603/462919 | |
| dc.language | English | |
| dc.publisher.institution | Faculty of Information and Communication Engineering | |
| dc.publisher.place | Chennai | |
| dc.publisher.university | Anna University | |
| dc.relation | p.153-161 | |
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Engineering and Technology | |
| dc.subject.keyword | Computer Science | |
| dc.subject.keyword | Computer Science Information Systems | |
| dc.subject.keyword | Travel and Tourism | |
| dc.subject.keyword | Recommendation System | |
| dc.subject.keyword | User Centric | |
| dc.title | User Profile based tourism recommendation | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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