Application of Spreading Activation Techniques in InformationRetrieval
Artificial Intelligence Review
International Journal of Human-Computer Studies
Learning to Find Interesting Connections in Wikipedia
APWEB '10 Proceedings of the 2010 12th International Asia-Pacific Web Conference
Email Social Network Extraction and Search
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Emails as graph: relation discovery in email archive
Proceedings of the 21st international conference companion on World Wide Web
CrowdTiles: presenting crowd-based information for event-driven information needs
Proceedings of the 21st ACM international conference on Information and knowledge management
Extracting event-related information from article updates in wikipedia
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Temporal summarization of event-related updates in wikipedia
Proceedings of the 22nd international conference on World Wide Web companion
Hi-index | 0.00 |
In this paper, we describe WikiPop service, a system designed to detect significant increase of popularity of topics related to users' interests. We exploit Wikipedia page view statistics to identify concepts with significant increase of the interest from the public. Daily, there are thousands of articles with increased popularity; thus, a personalization is in order to provide the user only with results related to his/her interest. The WikiPop system allows a user to define a context by stating a set of Wikipedia articles describing topics of interest. The system is then able to search, for the given date, for popular topics related to the user defined context.