Urban treasure: new approach for collaborative local recommendation engine
Abstract
Reference
Index Terms
- Urban treasure: new approach for collaborative local recommendation engine
Recommendations
Study on the Recommendation Technology for Tourism Information Service
ISCID '09: Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design - Volume 01Now the tourism information is overflow in the internet, but the useful information is had to find out. So, it takes the recommendation technology in common use as the research object, and adopts the comparison method to study different recommendation ...
User Recommendation Based on Semantic Pattern
CSNT '12: Proceedings of the 2012 International Conference on Communication Systems and Network TechnologiesWith the development of Search Engine, more and more people obtain information and materials easily. However, it is not convenient and quick to get information because we have to spend much time to find what we need in many relevant web pages. It is ...
Interacting with recommender systems
CHI EA '99: CHI '99 Extended Abstracts on Human Factors in Computing SystemsMany people today live in information-rich worlds, constantly facing the question: what should I do next? Which papers should I read to learn about a new area I am interested in? Which movie should I go to? Which restaurant would I like? The experience ...
Comments
Information & Contributors
Information
Published In

Sponsors
- Foundation of the Hellenic World
In-Cooperation
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 112Total Downloads
- Downloads (Last 12 months)1
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in