TY - GEN
T1 - GeoRank
T2 - 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2013
AU - Bao, Jie
AU - Mokbel, Mohamed F
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - location-based services
KW - location-based social networks
UR - http://www.scopus.com/inward/record.url?scp=84893517837&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893517837&partnerID=8YFLogxK
U2 - 10.1145/2525314.2525336
DO - 10.1145/2525314.2525336
M3 - Conference contribution
AN - SCOPUS:84893517837
SN - 9781450325219
T3 - GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
SP - 184
EP - 193
BT - 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2013
Y2 - 5 November 2013 through 8 November 2013
ER -