Dynamic Information Retrieval Modeling

Language Modeling for Information Retrie

📁 Language Modeling for Information Retrieval

✍ John Lafferty, ChengXiang Zhai (auth.), W. Bruce Croft, John Lafferty (eds.) 📂 Library 📅 2003 🏛 Springer Netherlands 🌐 English

<p>A statisticallanguage model, or more simply a language model, is a prob abilistic mechanism for generating text. Such adefinition is general enough to include an endless variety of schemes. However, a distinction should be made between generative models, which can in principle be used to synthes

Statistical Language Models for Informat

📁 Statistical Language Models for Information Retrieval

✍ ChengXiang Zhai 📂 Library 📅 2008 🏛 Morgan and Claypool Publishers 🌐 English

As online information grows dramatically, search engines such as Google are playing a more and more important role in our lives. Critical to all search engines is the problem of designing an effective retrieval model that can rank documents accurately for a given query. This has been a central resea

Statistical Language Models for Informat

📁 Statistical Language Models for Information Retrieval

✍ ChengXiang Zhai 📂 Library 📅 2009 🏛 Morgan & Claypool Publishers. 🌐 English

Statistical language models for informat

📁 Statistical language models for information retrieval

✍ ChengXiang Zhai 📂 Library 📅 2008 🏛 Morgan and Claypool Publishers 🌐 English

Statistical Language Models for Informat

📁 Statistical Language Models for Information Retrieval

✍ ChengXiang Zhai 📂 Library 📅 2008 🏛 Morgan and Claypool Publishers 🌐 English

As online information grows dramatically, search engines such as Google are playing a more and more important role in our lives. Critical to all search engines is the problem of designing an effective retrieval model that can rank documents accurately for a given query. This has been a central resea

Information Retrieval Models: Foundation

📁 Information Retrieval Models: Foundations and Relationships

✍ Thomas Roelleke 📂 Library 📅 2013 🏛 Morgan & Claypool Publishers 🌐 English

<p>Information Retrieval (IR) models are a core component of IR research and IR systems. The past decade brought a consolidation of the family of IR models, which by 2000 consisted of relatively isolated views on TF-IDF (Term-Frequency times Inverse-Document-Frequency) as the weighting scheme in the