In this we presents a personalized travel sequence recommendation from both travelogues and community-contributed and the heterogeneous metadata taken associated with these photos. Unlike most existing travel recommendation approaches, our approach is not only personalized to user’s travel interest but also able to recommend a travel sequence. The distributions of cost, visiting time and visiting season of each topic, the user travel preference and travel routes. We take advantage of the complementary of two kinds of social media: travelogue and community-contributed. Further data is optimized by similar users’ travel records. Metadata is created for the famous cities.
Volume 11 | 08-Special Issue
Pages: 3077-3081