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The Probabilistic Relevance Framework (PRF) is a formal framework for document retrieval, grounded in work done in the 1970–1980s, which led to the development of one of the most successful text-retrieval algorithms, BM25. In recent years, research in the PRF has yielded new retrieval models capable of taking into account document meta-data (especially structure and link-graph information). Again, this has led to one of the most successful Web-search and corporate-search algorithms, BM25F....
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In this paper, we report ongoing efforts in a large scale research project to develop methods for profiling individual Web search engine users by leveraging data recorded in the transaction logs of search engines. Our research aim is to investigate how completely one can profile a Web searcher using log data. Taking a broad brush approach, we present an array of profiling attributes to illustrate the spectrum of user characteristics possible from log data. Specifically, we present ongoing...
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La collaboration et le contenu généré par les usagers, aussi appelé « Web 2. 0 », sont des phénomènes nouveaux, qui bâtissent sur l'ouverture et le foisonnement d'Internet. Les environnements numériques qui emploient ces moyens mettent à contribution la communauté qui gravite autour d'une présence virtuelle afin d'en enrichir l’expérience. Suivant une approche constructiviste, nous explorons commnent la collaboration peut servir les usagers d'une banque de donnée de jugements en accès libre...
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This report summarises a workshop organised as a part of the EU-funded TrebleCLEF project entitled "Query Log Analysis: From Research to Best Practice" held on 27-28th May 2009 at the British Computer Science Offices in London, UK. The event involved 12 invited speakers from various academic and commercial institutions from around the world who are all involved, in some way, with query log analysis. A number of other people attended the event including local businesses and academic...
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Query reformulation is a key user behavior during Web search. Our research goal is to develop predictive models of query reformulation during Web searching. This article reports results from a study in which we automatically classified the query-reformulation patterns for 964,780 Web searching sessions, composed of 1,523,072 queries, to predict the next query reformulation. We employed an n-gram modeling approach to describe the probability of users transitioning from one query-reformulation...
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L'auteure examine la particularité des banques de données de législation européenne utilisant les exemples de N-Lex (prototype expérientiel au moment de la publication), EUR-Lex et EUROVAC (le thésaurus). L'auteure présente les difficultés apparentes de l'objectif à créer une banque de données suffisamment qui englobe toutes les législations européennes et nationales. - ES
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