Measures of relative relevance and ranked half-life: performance indicators for interactive IR
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Interactive Internet search: keyword, directory and query reformulation mechanisms compared
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Arabic Named Entity Recognition from Diverse Text Types
GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
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In this paper, the search engine Intuition is described. It allows the user to navigate through the documents retrieved with a given query. Several "browse help" functions are provided by the engine and described here: conceptualisation, named entities, similar documents and entity visualization. They intend to "save the user's time". In order to evaluate the amount of time these features can save, an evaluation was made. It involves 6 users, 18 queries and the corpus is made of 16 years of the newspaper Le Monde. The results show that, with the different features, a user get faster to the needed information. fewer non-relevant documents are read (filtering) and more relevant documents are retrieved in less time.