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2018 ◽  
Vol 17 ◽  
pp. 03020
Author(s):  
Minglei Wu ◽  
Jingchang Pan

Information technology is now developing rapidly, the Internet has also obtained widespread popularization. The amount of information on the network is increasing exponentially, whose information sources are widely distributed and varied. If the information can’t be managed in an orderly manner, it will be difficult for the user to extract the information they need from such a massive amount of information. Although the current search engine give people a lot of convenience in searching for information, but the search engine can’t reflect the user’s personalized information demand with facing a wide variety of users with different information needs, knowledge background and interest. In this paper, a recommendation method based on search results with java as a technology is implemented. This method takes Baidu hot people ranking as an example for verifying.


Author(s):  
Marcus Thiel ◽  
Philipp Ludwig ◽  
Till Mossakowski ◽  
Fabian Neuhaus ◽  
Andreas Nürnberger

2017 ◽  
Vol 63 (1) ◽  
pp. 1-2
Author(s):  
Elisa Shikata ◽  
Kiyoko Sasaki ◽  
Hitomi Hiratsuka ◽  
Yaeko Tajima ◽  
Tomohiro Nakayama

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