Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
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Broad expertise retrieval in sparse data environments
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
The relationship between IR effectiveness measures and user satisfaction
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Novelty and diversity in information retrieval evaluation
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
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Evaluation of Multilingual and Multi-modal Information Retrieval
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Information Processing and Management: an International Journal
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IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
The impact of document structure on keyphrase extraction
Proceedings of the 18th ACM conference on Information and knowledge management
Learning Semantic Query Suggestions
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Foundations and Trends in Information Retrieval
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Entity profiling is the task of identifying and ranking descriptions of a given entity. The task may be viewed as one where the descriptions being sought are terms that need to be selected from a knowledge source (such as an ontology or thesaurus). In this case, entity profiling systems can be assessed by means of precision and recall values of the descriptive terms produced. However, recent evidence suggests thatmore sophisticated metrics are needed that go beyond mere lexical matching of system-produced descriptors against a ground truth, allowing for graded relevance and rewarding diversity in the list of descriptors returned. In this note, we motivate and propose such a metric.