How reliable are the results of large-scale information retrieval experiments?
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Variations in relevance judgments and the measurement of retrieval effectiveness
Information Processing and Management: an International Journal
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
The Philosophy of Information Retrieval Evaluation
CLEF '01 Revised Papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems
Core empirical concepts and skills for computer science
Proceedings of the 35th SIGCSE technical symposium on Computer science education
Teaching key topics in computer science and information systems through a web search engine project
Journal on Educational Resources in Computing (JERIC)
TREC: Experiment and Evaluation in Information Retrieval (Digital Libraries and Electronic Publishing)
History places: A case study for relational database and information retrieval system design
Journal on Educational Resources in Computing (JERIC)
Teaching and learning in information retrieval
Information Retrieval
Combining open-source with research to re-engineer a hands-on introductory NLP course
TeachCL '08 Proceedings of the Third Workshop on Issues in Teaching Computational Linguistics
Evaluating the use of search engine development tools in IT education
Journal of the American Society for Information Science and Technology
Crawling the web for structured documents
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
IR-BASE: An integrated framework for the research and teaching of information retrieval technologies
TLIR'07 Proceedings of the First international conference on Teaching and Learning of Information Retrieval
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We describe a pilot experiment to update the program of an Information Retrieval course for Computer Science undergraduates. We have engaged the students in the development of a search engine from scratch, and they have been involved in the elaboration, also from scratch, of a complete test collection to evaluate their systems. With this methodology they get a whole vision of the Information Retrieval process as they would find it in a real-world setting, and their direct involvement in the evaluation makes them realize the importance of these laboratory experiments in Computer Science. We show that this methodology is indeed reliable and feasible, and so we plan on improving and keep using it in the next years, leading to a public repository of resources for Information Retrieval courses.