Linkai Weng
Tsinghua University
7 Papers
43 Citations
Linkai Weng is an academic researcher from Tsinghua University. The author has contributed to research in topics: Ubiquitous computing & Collaborative filtering. The author has an hindex of 3, co-authored 7 publications.
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Papers
A novel service evolution approach for active services in ubiquitous computing
TL;DR: A novel service reuse approach is proposed for service evolution process in the active services paradigm and two types of QoS-aware service reuse methods are introduced, demonstrating the usability and superiority of the proposed approach in terms of computation cost, success rate and service quality.
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Query by document via a decomposition-based two-level retrieval approach
Linkai Weng,Zhiwei Li,Rui Cai,Yaoxue Zhang,Yuezhi Zhou,Laurence T. Yang,Lei Zhang +6 more
- 24 Jul 2011
TL;DR: This work proposes a two-level retrieval solution based on a document decomposition idea, which adopts locality sensitive hashing (LSH) to index the compact vectors, which guarantees to quickly find a set of related documents according to the vector of a query document.
A novel framework for service description and operations
Yu Bai,Yaoxue Zhang,Yuezhi Zhou,L.T. Yang,Linkai Weng,Hao Liu +5 more
- 26 Oct 2010
TL;DR: A novel framework for service description and operations is proposed that can be used to describe customized services and to be the basis for achieving the automation of service composition.
3
•Journal Article
A Joint Web Resource Recommendation Method based on Category Tree and Associate Graph
TL;DR: A joint recommendation method combining together two approaches, namely the domain category tree and the associate graph, to make full use of all available information to improve the traditional associate filtering method by integrating additional graphical considerations into them is proposed.
•Journal Article
A personalized facet-weight based ranking method for service component retrieval
TL;DR: The computing paradigm has switched from mainframe and desktop computing to ubiquitous computing, one of whose visions is to provide intelligent, personalized and comprehensive services to users by retrieving, adapting, and composing.