Improving the effectiveness of POI search by associated information summarization

The demand for map services has risen significantly in recent years due to the popularity of mobile devices and wireless networks. Since there are always emerging point-of-interest (POI) in the real world, mining POIs shared by users from the Web has been a challenging problem to enrich existing POI database. However, crawling address-bearing pages and extracting POI relations are only the fundamentals for constructing POI database, the description of POIs, i.e. the services and products that POIs provide are especially essential for POI search. In this paper, we propose the summarization of POI associated information to improve the search effectiveness to avoid mismatches between users' queries and the relevant POIs by integrating our constructed POI database with Google place API to collect POIs shared by users from the Web. Experimental results showed that the integrated POI search service outperforms other similar servicess, such as Wikimapia and a commercial app, What's the number.