Type
Book ChapterDate
2017-10-04Online Publication Date
2017-10-04Print Publication Date
2017Permanent link to this record
http://hdl.handle.net/10754/625945
Metadata
Show full item recordAbstract
In part due to the proliferation of GPS-equipped mobile devices, massive svolumes of geo-tagged streaming text messages are becoming available on social media. It is of great interest to discover most frequent nearby terms from such tremendous stream data. In this paper, we present novel indexing, updating, and query processing techniques that are capable of discovering top-k locally popular nearby terms over a sliding window. Specifically, given a query location and a set of geo-tagged messages within a sliding window, we study the problem of searching for the top-k terms by considering both the term frequency and the proximities between the messages containing the term and the query location. We develop a novel and efficient mechanism to solve the problem, including a quad-tree based indexing structure, indexing update technique, and a best-first based searching algorithm. An empirical study is conducted to show that our proposed techniques are efficient and fit for users’ requirements through varying a number of parameters.Citation
Xu Y, Chen L, Yao B, Shang S, Zhu S, et al. (2017) Location-Based Top-k Term Querying over Sliding Window. Web Information Systems Engineering – WISE 2017: 299–314. Available: http://dx.doi.org/10.1007/978-3-319-68783-4_21.Sponsors
This work was supported by the NSFC (U1636210, 61373156, 91438121 and 61672351), the National Basic Research Program (973 Program, No. 2015CB352403), the National Key Research and Development Program of China (2016YFB0700502), the Scientific Innovation Act of STCSM (15JC1402400) and the Microsoft Research Asia.Publisher
Springer NatureConference/Event name
18th International Conference on Web Information Systems Engineering, WISE 2017Additional Links
https://link.springer.com/chapter/10.1007%2F978-3-319-68783-4_21ae974a485f413a2113503eed53cd6c53
10.1007/978-3-319-68783-4_21