کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
350689 | 618455 | 2014 | 11 صفحه PDF | دانلود رایگان |
• An effective algorithm to extract focused locations of Web pages is presented.
• A new ranking method considering spatial–textual association in Web is proposed.
• Experiments on various real datasets show the superiority of our algorithm.
Most Web pages contain location information, which are usually neglected by traditional search engines. Queries combining location and textual terms are called as spatial textual Web queries. Based on the fact that traditional search engines pay little attention in the location information in Web pages, in this paper we study a framework to utilize location information for Web search. The proposed framework consists of an offline stage to extract focused locations for crawled Web pages, as well as an online ranking stage to perform location-aware ranking for search results. The focused locations of a Web page refer to the most appropriate locations associated with the Web page. In the offline stage, we extract the focused locations and keywords from Web pages and map each keyword with specific focused locations, which forms a set of
Journal: Computers in Human Behavior - Volume 30, January 2014, Pages 378–388