W
Wang-Chien Lee
Researcher at Pennsylvania State University
Publications - 367
Citations - 15328
Wang-Chien Lee is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Wireless sensor network & Mobile computing. The author has an hindex of 60, co-authored 366 publications receiving 14123 citations. Previous affiliations of Wang-Chien Lee include Ohio State University & Verizon Communications.
Papers
More filters
Proceedings ArticleDOI
Semantic trajectory mining for location prediction
TL;DR: The core idea of the prediction model is a novel cluster-based prediction strategy which evaluates the next location of a mobile user based on the frequent behaviors of similar users in the same cluster determined by analyzing users' common behavior in semantic trajectories.
Proceedings ArticleDOI
Exploring social influence for recommendation: a generative model approach
TL;DR: Experimental results show that social influence captured based on the proposed probabilistic generative model, called social influenced selection (SIS), is effective for enhancing both item recommendation and group recommendation, essential for viral marketing, and useful for various user analysis.
Patent
System and method for automatic loading of an xml document defined by a document-type definition into a relational database including the generation of a relational schema therefor
TL;DR: In this paper, a system and a method are provided for generating a schema (22) for a relational database corresponding to a document having a document-type definition (18) and data complying with the document type definition.
Proceedings ArticleDOI
Real-time automatic tag recommendation
TL;DR: Experiments on large-scale tagging datasets of scientific documents and web pages del.icio.us indicate that the proposed framework for real-time tag recommendation is capable of making tag recommendation efficiently and effectively.
Journal ArticleDOI
IR-Tree: An Efficient Index for Geographic Document Search
TL;DR: An efficient index, called IR-tree, is proposed that together with a top-k document search algorithm facilitates four major tasks in document searches, namely, 1) spatial filtering, 2) textual filtering, 3) relevance computation, and 4) document ranking in a fully integrated manner.