User needs for location-aware mobile services
Personal and Ubiquitous Computing
User models for intent-based authoring
User models for intent-based authoring
DCFLA: A distributed collaborative-filtering neighbor-locating algorithm
Information Sciences: an International Journal
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This paper builds a scalable personalized mobile information pushing platform, which can provide user-friendly and flexible location-based service. We first propose a Location-based Data and Service Middleware based on Service-Oriented Architecture in order to implement Mobile Information Pushing System involved in a variety of formats of data integration and conversion, as well as a combination of a wide range of services. Then, we propose a novel 3-D Tag-Cloud module, so that it can visualize useful retrieval information even in the limited mobile screen. Especially, we design a multi-dimensional collaborative filtering algorithms, in order to achieve dynamic personalized recommendation and mobile information sharing.