论文信息 - A WORLDWIDE TOURISM RECOMMENDATION SYSTEM BASED ON GEOTAGGED WEB PHOTOS

A WORLDWIDE TOURISM RECOMMENDATION SYSTEM BASED ON GEOTAGGED WEB PHOTOS

This work aims to build a system to suggest tourist destinations based on visual matching and minimal user input. A user can provide either a photo of the desired scenary or a keyword describing the place of interest, and the system will look into its database for places that share the visual characteristics. To that end, we rst cluster a large-scale geotagged web photo collection into groups by location and then nd the representative images for each group. Tourist destination recommendations are produced by comparing the query against the representative tags or representative images under the premise of “if you like that place, you may also like these places”.

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