Improvement on PageRank Algorithm Based on User Influence
نویسندگان
چکیده
With the rapid development of the Internet, web search engines have become the most important Internet tools to retrieve information. The rational PageRank algorithm is mainly based on the relationship between links page sorting, thus, is easy to ignore the professional site, too much old web pages and other shortcomings. To solve these problems, we add user influence factors based on the website authority weighting and time to improve the weight.Our experimental results show that comparing the traditional PageRank algorithm, the improved algorithm can effectively improve the precision and user satisfaction with the sorting results.
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