Abstract
A search engine returns a ranked list of documents for a query. If the query is broad then the returned list is usually too long to view fully. Studies show that users usually read only the top 10 to 20 results. Also, web search results can be much improved by using the information contained in the link structure between pages. The two best-known algorithms are HITS and PageRank. In this paper, based on the analysis of links-based and content-based sorting algorithm, a new scheme-Topic_ExpertRank for improving the accuracy and the efficiency of the search engine is contributed.
This work was supported by the Northeast Dianli University Dr. Scientific Research Foundation Project (No. BSJXM-201219).
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Lu, P., Cong, X. (2015). The Research on Webpage Ranking Algorithm Based on Topic-Expert Documents. In: Unger, H., Meesad, P., Boonkrong, S. (eds) Recent Advances in Information and Communication Technology 2015. Advances in Intelligent Systems and Computing, vol 361. Springer, Cham. https://doi.org/10.1007/978-3-319-19024-2_20
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DOI: https://doi.org/10.1007/978-3-319-19024-2_20
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