Many people these days access a vast document on the Web very often with the help of search engines such as Google. However, even if we use the search engine, it is often the case that we cannot find desired information easily. In this paper, we extract related words for the search query by analyzing link information and category structure. we aim to assist the user in retrieving web pages by reranking search results.
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Evaluating Reranking Methods using Wikipedia Features
Semantic Scholar · Computer Science · 2011
Abstract
Many people these days access a vast document on the Web very often with the help of search engines such as Google. However, even if we use the search engine, it is often the case that we cannot find desired information easily. In this paper, we extract related words for the search query by analyzing link information and category structure. we aim to assist the user in retrieving web pages by reranking search results.
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