Personalized Recommendation of Tourist Attractions based on LBSN
نویسندگان
چکیده
منابع مشابه
Intrigue: Personalized Recommendation of Tourist Attractions for Desktop and Hand Held Devices
This paper presents INTRIGUE, a prototype tourist information server that presents information about the area around Torino city, on desktop and handset devices. This system recommends sightseeing destinations and itineraries by taking into account the preferences of heterogeneous tourist groups (such as families with children and elderly) and explains the recommendations by addressing the grou...
متن کاملIntrigue: Personalized Recommendation of Tourist Attractions for Desktop and Handset Devices
This paper presents INTRIGUE, a prototype tourist information server that presents information about the area around Torino city, on desktop and handset devices. This system recommends sightseeing destinations and itineraries by taking into account the preferences of heterogeneous tourist groups (such as families with children and elderly) and explains the recommendations by addressing the grou...
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With the mass of images we are presented with everyday, there are many times when we see a photo of a place that we would like to visit but are unable to determine where it is. The ability to recognize landmarks from images can be extremely useful both when choosing a travel destination and when trying to identify landmarks in a foreign place. Our project aims to be able to recognize the specif...
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With the rapid development of social networks, location-based social network gradually rise. In order to retrieve user most prefer attractions from a large number of tourism information, location-based personalized recommendation technology has been widely concerned in academic and industry. For the solving techniques problems such as data sparsity and cold-start existed in personalized recomme...
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Selecting tourist attractions to visit at a destination is a main stage in planning a trip. Although various online travel recommendation systems have been developed to support users in the task of travel planning during the last decade, few systems focus on recommending specific tourist attractions. In this paper, an intelligent system to provide personalized recommendations of tourist attract...
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ژورنال
عنوان ژورنال: DEStech Transactions on Computer Science and Engineering
سال: 2018
ISSN: 2475-8841
DOI: 10.12783/dtcse/csae2017/17462