Title :
Research and Improvement of PageRank Sort Algorithm Based on Retrieval Results
Author_Institution :
Nanning Univ., Nanning, China
Abstract :
With the development of Internet, network has become a important platform for information publishment and communications. However, there are tremendous resources in the network, thus it´s very difficult for users to find the wanted resources. Search engine can help them find the related information. When users input some keywords, the search engine will return all the web pages related to the keywords in a reasonable order with some sort algorithm. In this process, retrieval results sort algorithm plays a significant role of user satisfaction. This paper starts from the background of sort algorithm, and introduces the history and development of retrieval results sort algorithms. Then three popular sort algorithms are presented, including PageRank algorithm, Hill Top algorithm and HITS algorithm. According to the disadvantages of PageRank algorithm, we propose an improved algorithm based on concepts. Lastly this paper discusses the possible applications of the improved algorithm.
Keywords :
Internet; search engines; HITS algoritm; HillTop algorithm; Internet; PageRank sort algorithm; Web pages; hypertext induced topic search algorithm; information publishment-and-communications; retrieval results; search engine; user satisfaction; Algorithm design and analysis; Educational institutions; Google; Indexes; Search engines; Web pages; HITS; HillTop; PageRank; Retrieval Results; Sort Algorithm;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-6635-6
DOI :
10.1109/ICICTA.2014.119