Detecting spam web pages through content analysis
Proceedings of the 15th international conference on World Wide Web
Geographically focused collaborative crawling
Proceedings of the 15th international conference on World Wide Web
Improving local search ranking through external logs
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Factors affecting aggregated search coherence and search behavior
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Traditional ranking schemes of the relevance of a Web page to a user query in a search engine are less appropriate when the search term contains geographic information. Often, geographic entities, such as addresses, city names, and location names, appear only once or twice in a Web page, and are typically not in a heading or larger font. Consequently, an alternative ranking approach to the traditional weighted tf*idf relevance ranking is need. Further, if a Web site contains a geographic entity, it is often the case that its in- and out-neighbours do not refer to the same entity, although they may refer to other geographic entities. We present a local search engine that applies a novel ranking algorithm suitable for ranking Web pages with geographic content. We describe its major components: geographic ranking, focused crawling, geographic extractor, and the related web-sites feature.