ITM Web Conf.
Volume 17, 20184th Annual International Conference on Wireless Communication and Sensor Network (WCSN 2017)
|Number of page(s)||4|
|Section||Session 3: Smart City in Resource Management, Ecological and Environmental Data Processing|
|Published online||02 February 2018|
Analysis of character network heat based on web retrieval technology
School of Mechanical, Electrical & Information Engineering, Shan Dong University, Weihai; School of Rong Cheng, Harbin University of Science and Technology, Wei Hai, China
2 School of Mechanical, Electrical & Information Engineering, Shan Dong University, Wei Hai, China
* Jingchang Pan: email@example.com
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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