Big data increasingly benefit both research and industrial area such as health care, finance
service and commercial recommendation. This paper presents a personalized travel …

6,199,076 B1* 3/2001 Logan et al................... 71.5/2O3 6,292,830 B1 9/2001 Taylor et al.
tent. Locations are automatically learned based on dividing documents into document …

KNWLedge MINING 102 travelogues with learned tags and images, performing topic
learning to obtain an interest model, performing location matching based on the interest …

Travel route planning is an important step for a tourist to prepare his/her trip. As a common
scenario, a tourist usually asks the following questions when he/she is planning his/her trip …

With the prosperity of tourism and Web 2.0 technologies, more and more people have
willingness to share their travel experiences on the Web (eg, weblogs, forums, or Web 2.0 …

Photo sharing is one of the most popular Web services. Photo sharing sites provide
functions to add tags and geo-tags to photos to make photo organization easy. Considering …

Social media such as those residing in the popular photo sharing websites is attracting
increasing attention in recent years. As a type of user-generated data, wisdom of the crowd …

In recent years, various Web-based sharing and community services such as Flickr and
YouTube have made a vast and rapidly growing amount of multimedia content available …

The popularity of camera phones and photo sharing websites, eg Flickr and Panoramio, has
led to huge volumes of community-contributed geotagged photos (CCGPs) available on the …

Automatically summarizing tourist destinations with both textual and visual descriptions is
highly desired for online services such as travel planning, to facilitate users to understand …