Name
Abstract | ||
|---|---|---|
The resource recommendation is an important service for tourists when they are traveling in an unfamiliar city. A tourist can request the information of food, entertainment and accommodation for her reference, so a recommendation system providing good user experience is highly desirable, which can effectively stimulate the tourism industry. However, the previous recommendation systems usually face the cold-start problem, and the keyword-based querying approach is too inefficient to guarantee the user experience. Considering the limitations above, this demo will introduce an interactive recommendation system named TagTour, which utilizes the tag transfer technique and the users’ interaction to provide more accurate and personalized recommendation results, so as to improve the user experience. In this demo, we will introduce the important components and the relevant techniques of TagTour system, and then demonstrate the system performance by some actual resource recommendation cases. |
Year | Venue | Field |
|---|---|---|
2016 | APWeb | Recommender system,User experience design,World Wide Web,Collaborative filtering,Computer science,Entertainment,Tourism,Database,Accommodation |
DocType | Citations | PageRank |
Conference | 1 | 0.35 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tian Han | 1 | 44 | 5.64 |
| Yongjian Liu | 2 | 22 | 5.04 |
| Qing Xie | 3 | 285 | 18.28 |