GeoRank: An efficient location-aware news feed ranking system

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

News feed function becomes very popular in many social networking services and news aggregators, as it delivers the messages from users' subscribed sources. More recently, location has been introduced to the news feed function, which returns the news items relevant to the user's location. However, with the large number of the news items generated by the sources, existing news feed systems opt to return the top-k most recent ones, which completely overlooks the messages' spatial relevance and may end up in missing more geographically close ones. In this paper, we present GeoRank, an efficient location-aware news feed ranking system that provides top-k new feeds based on (a) spatial proximity, (b) temporal proximity, and (c) user preferences. GeoRank encapsulates spatio-temporal pruning techniques to improve its response time and efficiency. GeoRank is composed of two main modules, namely, query processor and message updater. The query processor module is triggered by the user, upon logging on to the system, to provide the top-k ranked location-based news feeds. The message updater module is a process running in the background, which keeps maintaining statistics used by the query processor module. Extensive experimental results, based on real and synthetic data sets, show the scalability and efficiency of GeoRank.

Original languageEnglish (US)
Title of host publication21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2013
Pages184-193
Number of pages10
DOIs
StatePublished - Dec 1 2013
Event21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2013 - Orlando, FL, United States
Duration: Nov 5 2013Nov 8 2013

Publication series

NameGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Other

Other21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2013
CountryUnited States
CityOrlando, FL
Period11/5/1311/8/13

Keywords

  • location-based services
  • location-based social networks

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