WikiPop - Personalized Event Detection System Based on Wikipedia Page View Statistics
|WikiPop - Personalized Event Detection System Based on Wikipedia Page View Statistics|
|Author(s)||Marek Ciglan, Kjetil Nørvåg|
|Keyword(s)||Wikipedia, recommendation, knowledge base (Extra: visits)|
|Article||BASE, CiteSeerX, Google Scholar|
|Web||Ask, Bing, Google (PDF), Yahoo!|
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|Browse properties · List of conference papers|
In this paper, we describe WikiPop, 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 re- lated to his/her interest. TheWikiPop 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.
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