GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Mobile UNITY: reasoning and specification in mobile computing
ACM Transactions on Software Engineering and Methodology (TOSEM)
Cyberguide: a mobile context-aware tour guide
Wireless Networks - Special issue: mobile computing and networking: selected papers from MobiCom '96
The context toolkit: aiding the development of context-enabled applications
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Developing a context-aware electronic tourist guide: some issues and experiences
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Visualization of test information to assist fault localization
Proceedings of the 24th International Conference on Software Engineering
MovieLens unplugged: experiences with an occasionally connected recommender system
Proceedings of the 8th international conference on Intelligent user interfaces
Text-Learning and Related Intelligent Agents: A Survey
IEEE Intelligent Systems
Communications of the ACM - Service-oriented computing
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Testing Context-Sensitive Middleware-Based Software Applications
COMPSAC '04 Proceedings of the 28th Annual International Computer Software and Applications Conference - Volume 01
Scalable statistical bug isolation
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
IEEE Transactions on Knowledge and Data Engineering
Mobile Recommendation Systems for Decision Making "On the Go"
ICMB '05 Proceedings of the International Conference on Mobile Business
Service-Oriented System Engineering: A New Paradigm
SOSE '05 Proceedings of the IEEE International Workshop
A survey of architecture design rationale
Journal of Systems and Software
Efficient algorithms for Web services selection with end-to-end QoS constraints
ACM Transactions on the Web (TWEB)
A location-aware recommender system for mobile shopping environments
Expert Systems with Applications: An International Journal
Acquiring and Revising Preferences in a Critique-Based Mobile Recommender System
IEEE Intelligent Systems
Automatic identification of informal social groups and places for geo-social recommendations
International Journal of Mobile Network Design and Innovation
CARISMA: Context-Aware Reflective mIddleware System for Mobile Applications
IEEE Transactions on Software Engineering
Map-Based Interaction with a Conversational Mobile Recommender System
UBICOMM '08 Proceedings of the 2008 The Second International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
Potentials and challenges of recommendation systems for software development
Proceedings of the 2008 international workshop on Recommendation systems for software engineering
Journal of Systems and Software
Recommendations based on semantically enriched museum collections
Web Semantics: Science, Services and Agents on the World Wide Web
An empirical study on effectiveness of temporal information as implicit ratings
Expert Systems with Applications: An International Journal
Atomicity Analysis of Service Composition across Organizations
IEEE Transactions on Software Engineering
Personalized recommendation on dynamic content using predictive bilinear models
Proceedings of the 18th international conference on World wide web
Where to adapt dynamic service compositions
Proceedings of the 18th international conference on World wide web
Capturing propagation of infected program states
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Partial constraint checking for context consistency in pervasive computing
ACM Transactions on Software Engineering and Methodology (TOSEM)
Fault localization through evaluation sequences
Journal of Systems and Software
Using Tag Co-occurrence for Recommendation
ISDA '09 Proceedings of the 2009 Ninth International Conference on Intelligent Systems Design and Applications
Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations
Information Sciences: an International Journal
Use of social network information to enhance collaborative filtering performance
Expert Systems with Applications: An International Journal
User profiles for personalized information access
The adaptive web
Personalized blog content recommender system for mobile phone users
International Journal of Human-Computer Studies
An energy-efficient mobile recommender system
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Software architecture awareness in long-term software product evolution
Journal of Systems and Software
XML-manipulating test case prioritization for XML-manipulating services
Journal of Systems and Software
Nearest neighbor pattern classification
IEEE Transactions on Information Theory
Bringing knowledge into recommender systems
Journal of Systems and Software
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In service-oriented computing, a recommender system can be wrapped as a web service with machine-readable interface. However, owing to the cross-organizational privacy issue, the internal dataset of an organization is seldom exposed to external services. In this paper, we propose a higher level recommender strategy INSERT that guides the underlying external universal recommender to suggest a set of indexes. INSERT then matches the title of each top-ranked index entry with the domain-specific keywords in the organization's internal dataset, and further directs the universal recommender to verify the popularity of such matching. INSERT finally makes recommendation based on the verification results. INSERT also employs URLs taken from a client as user contexts, which is challenging because URLs contain little content. Our experiment shows that this strategy is feasible and effective.