Title
Tianji: Implementation of an Efficient Tracking Engine in the Mobile Internet Era
Abstract
In the mobile Internet era, users access interesting information in a continuous manner rather than as one-time results through search engines. The traditional link-based ranking algorithms typically return the relevant "popular" web pages. The current, most important web pages are ranked lower than these pages. Furthermore, most of the results are repeated when the user submits the same query days later. In this paper, we have described a novel service called tracking engine. The tracking engine allows users to enter and save queries, displays time-sensitive information, and notifies users when new, relevant information appears. To the best of our knowledge, this is the first solution seen in such a service in the mobile Internet era. First, our tracking engine called Tianji crawls the web pages based on time priority and constructs a new index structure, which enables a faster match of web pages to related keywords. Then, we develop a ranking model based on the correlation between time and importance. The experimental results show that the ranking model of Tianji has better performance than existing time-sensitive ranking methods in terms of timeliness and relevance.
Year
DOI
Venue
2017
10.1109/ACCESS.2017.2736064
IEEE ACCESS
Keywords
Field
DocType
Tracking engine,keyword search,temporal search,mobile internet
Web search engine,Mobile search,World Wide Web,Metasearch engine,HITS algorithm,Information retrieval,Web page,Computer science,Web query classification,Web crawler,Spamdexing
Journal
Volume
ISSN
Citations 
5
2169-3536
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Chen Jin-Yuan1223.27
Zheng Hai-Tao214224.39
Xiao X.37915.95
Arun Kumar41427132.32
Jiang Yong515641.60
Zhao Cong-Zhi662.19