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It is important for Web search engine providers to study user behaviour in order to have a better understanding of how customers interact with search engines so that they can improve users' overall search experience. However, user behaviour in a search engine is complicated and affected by various factors, e.g. query length, intention/context/time when queries are submitted, etc. It is interesting...
In this work, Web-based metrics that compute the semantic similarity between words or terms are presented and compared with the state of the art. Starting from the fundamental assumption that similarity of context implies similarity of meaning, relevant Web documents are downloaded via a Web search engine and the contextual information of words of interest is compared (context-based similarity metrics)...
As the dominant tool to access information online, Web search engines still struggle to improve the quality of search results using various methods. Among these methods, query expansion and document refinement are particularly useful and effective. Query expansion aims at generating an expanded query by adding new terms and phrases, but document refinement keeps Web queries invariant and ceaselessly...
We demonstrate that is it possible to automatically find representative example images of a specified object category. These canonical examples are perhaps the kind of images that one would show a child to teach them what, for example a horse is - images with a large object clearly separated from the background. Given a large collection of images returned by a web search for an object category, our...
Web spamming, the practice of introducing artificial text and links into Web pages to affect the results of searches, has been recognized as a major problem for search engines. But it is mainly a serious problem for Web users because they tend to confuse trusting the search engine with trusting the results of a search. In this paper, we propose "backwards propagation of distrust,'' as an approach...
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