[Lecture Notes in Computer Science] Advances in Information Retrieval Volume 2633 || Similarity Join in Metric Spaces

[Lecture Notes in Computer Science] Adva

[Lecture Notes in Computer Science] Advances in Information Retrieval Volume 2997 || Contextual Document Clustering

✍ McDonald, Sharon; Tait, John 📂 Article 📅 2004 🏛 Springer Berlin Heidelberg ⚖ 157 KB

[Lecture Notes in Computer Science] Adva

[Lecture Notes in Computer Science] Advances in Information Retrieval Volume 6611 || Caching for Realtime Search

✍ Clough, Paul; Foley, Colum; Gurrin, Cathal; Jones, Gareth J. F.; Kraaij, Wessel; 📂 Article 📅 2011 🏛 Springer Berlin Heidelberg ⚖ 272 KB

[Lecture Notes in Computer Science] Adva

[Lecture Notes in Computer Science] Advances in Information Retrieval Volume 7224 || Usefulness of Sentiment Analysis

✍ Baeza-Yates, Ricardo; de Vries, Arjen P.; Zaragoza, Hugo; Cambazoglu, B. Barla; 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg ⚖ 148 KB

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[Lecture Notes in Computer Science] Lectures on Information Retrieval Volume 1980 || Getting into Information Retrieval

✍ Agosti, Maristella; Crestani, Fabio; Pasi, Gabriella 📂 Article 📅 2000 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 217 KB

Information Retrieval (IR) is concerned with the effective and efficient retrieval of information based on its semantic content. The central problem in IR is the quest to find the set of relevant documents, among a large collection containing the information sought, satisfying a user's information n

[Lecture Notes in Computer Science] Lect

[Lecture Notes in Computer Science] Lectures on Information Retrieval Volume 1980 || Getting into Information Retrieval

✍ Agosti, Maristella; Crestani, Fabio; Pasi, Gabriella 📂 Article 📅 2000 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 217 KB

Information Retrieval (IR) is concerned with the effective and efficient retrieval of information based on its semantic content. The central problem in IR is the quest to find the set of relevant documents, among a large collection containing the information sought, satisfying a user's information n

[Lecture Notes in Computer Science] Adva

[Lecture Notes in Computer Science] Advances in Information Retrieval Volume 4425 || Probabilistic Models for Expert Finding

✍ Amati, Giambattista; Carpineto, Claudio; Romano, Giovanni 📂 Article 📅 2007 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 484 KB

This book constitutes the refereed proceedings of the 29th annual European Conference on Information Retrieval Research, ECIR 2007, held in Rome, Italy in April 2007. The papers are organized in topical sections on theory and design, efficiency, peer-to-peer networks, result merging, queries, releva