Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/39877
DC FieldValueLanguage
dc.contributorDepartment of Computing-
dc.creatorXu, W-
dc.creatorChow, CY-
dc.creatorYiu, ML-
dc.creatorLi, Q-
dc.creatorPoon, CK-
dc.date.accessioned2016-05-11T10:18:19Z-
dc.date.available2016-05-11T10:18:19Z-
dc.identifier.isbn978-1-4503-1691-0-
dc.identifier.urihttp://hdl.handle.net/10397/39877-
dc.language.isoenen_US
dc.subjectLocation-aware social networksen_US
dc.subjectMobile computingen_US
dc.subjectNews feeden_US
dc.subjectOnline schedulingen_US
dc.titleMobiFeed: a location-aware news feed system for mobile usersen_US
dc.typeConference Paperen_US
dc.identifier.spage538-
dc.identifier.epage541-
dc.identifier.doi10.1145/2424321.2424409-
dcterms.abstractA location-aware news feed system enables mobile users to share geo-tagged user-generated messages, e.g., a user can receive nearby messages that are the most relevant to her. In this paper, we present MobiFeed that is a framework designed for scheduling news feeds for mobile users. MobiFeed consists of three key functions, location prediction, relevance measure, and news feed scheduler. The location prediction function is designed to predict a mobile user's locations based on an existing path prediction algorithm. The relevance measure function is implemented by combining the vector space model with non-spatial and spatial factors to determine the relevance of a message to a user. The news feed scheduler works with the other two functions to generate news feeds for a mobile user at her current and predicted locations with the best overall quality. To ensure that MobiFeed can scale up to a larger number of messages, we design a heuristic news feed scheduler.-
dcterms.bibliographicCitationSIGSPATIAL '12 Proceedings of the 20th International Conference on Advances in Geographic Information Systems, Redondo Beach, California, USA, November 2012, p. 538-541-
dcterms.issued2012-
dc.relation.conferenceInternational Conference on Advances in Geographic Information Systems-
dc.identifier.rosgroupidr62614-
dc.description.ros2012-2013 > Academic research: refereed > Refereed conference paper-
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