Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
User Modeling and User-Adapted Interaction
Proceedings of the 17th International Conference on Data Engineering
Efficient Progressive Skyline Computation
Proceedings of the 27th International Conference on Very Large Data Bases
An optimal and progressive algorithm for skyline queries
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Preference formulas in relational queries
ACM Transactions on Database Systems (TODS)
The perfect search engine is not enough: a study of orienteering behavior in directed search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Optimizing the Catalog Search Process for E-Procurement Platforms
DEEC '05 Proceedings of the International Workshop on Data Engineering Issues in E-Commerce
Foundations of preferences in database systems
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Preference SQL: design, implementation, experiences
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Adaptive and Intelligent Web-based Educational Systems
International Journal of Artificial Intelligence in Education
Evaluating preference-based search tools: a tale of two approaches
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
The adaptive web
The personal publication reader
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Querying with preferences in a digital library
Proceedings of the 2005 international conference on Federation over the Web
A preference-based recommender system
EC-Web'06 Proceedings of the 7th international conference on E-Commerce and Web Technologies
Querying the semantic web with preferences
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Adaptive systems in the era of the semantic and social web, a survey
User Modeling and User-Adapted Interaction
An efficient skyline framework for matchmaking applications
Journal of Network and Computer Applications
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While the growing number of learning resources increases the choice for learners, it also makes it more and more difficult to find suitable courses. Thus, improved search capabilities on learning resource repositories are required. We propose an approach for learning resource search based on preference queries. A preference query does not only allow for hard constraints (like 'return lectures about Mathematics') but also for soft constraints (such as 'I prefer a course on Monday, but Tuesday is also fine'). Such queries always return the set of optimal items with respect to the given preferences. We show how to exploit this technique for the learning domain, and present the Personal Preference Search Service (PPSS) which offers significantly enhanced search capabilities compared to usual search facilities for learning resources.