Personalized Travel Path Recommendation Scheme on Social Media

In the recent times, a personalized travel path recommendation based on both travelogues and community contributed photos and the heterogeneous meta-data (tags, geographical locations, and date taken) which are associated with photos have been studied. The travellers using social media leave their l...

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Bibliographic Details
Published in한국콘텐츠학회 논문지, 19(2) Vol. 19; no. 2; pp. 284 - 295
Main Authors Paul Aniruddha, Jongtae Lim(임종태), Kyoungsoo Bok(복경수), Jaesoo Yoo(유재수)
Format Journal Article
LanguageEnglish
Published 한국콘텐츠학회 01.02.2019
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ISSN1598-4877
2508-6723
DOI10.5392/JKCA.2019.19.02.284

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Summary:In the recent times, a personalized travel path recommendation based on both travelogues and community contributed photos and the heterogeneous meta-data (tags, geographical locations, and date taken) which are associated with photos have been studied. The travellers using social media leave their location history, in the form of paths. These paths can be bridged for acquiring information, required, for future recommendation, for the future travellers, who are new to that location, providing all sort of information. In this paper, we propose a personalized travel path recommendation scheme, based on social life log. By taking advantage, of two kinds of social media, such as travelogue and community contributed photos, the proposed scheme, can not only be personalized to user’s travel interest, but also be able to recommend, a travel path rather than individual Points of Interest (POIs). The proposed personalized travel route recommendation method consists of two steps, which are: pruning POI pruning step and creating travel path step. In the POI pruning step, candidate paths are created by the POI derived. In the creating travel path step, the proposed scheme creates the paths considering the user's interest, cost, time, season of the topic for more meaningful recommendation. KCI Citation Count: 2
ISSN:1598-4877
2508-6723
DOI:10.5392/JKCA.2019.19.02.284