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Clustering and Ranking for Web Information Retrieval

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Experiment and Evaluation in Information Retrieval Models

Experiment and Evaluation in Information Retrieval Models explores different algorithms for the application of evolutionary computation to;

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Modern Information Retrieval

This is a rigorous and complete textbook for a first course on information retrieval from the computer science perspective. It provides an;

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HCPR multiplied with TFIDF for Effective Search Method

helpful for web search ranking of retrieved information.;

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Textual Information Access

. Learnable Ranking Models for Automatic Text Summarization and Information Retrieval, Massih-Reza Amini, David Buffoni, Patrick Gallinari,& Tuong;

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Information Retrieval

Information retrieval is a sub-field of computer science that deals with the automated storage and retrieval of documents. Providing the;

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Web Community

efficiency of information management and retrieval of Web data is often unsatisfactory when using conventional data management techniques. Web;

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Machine Learning for Text

combination of text with multimedia or Web links. The problem of information retrieval and Web search is also discussed in the context of its;

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Introduction to Clustering Large and High-Dimensional Data

, including computer vision, VLSI design, data mining, bio-informatics (gene expression analysis), and information retrieval, to name just a few. This;

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A Feature-Centric View of Information Retrieval

highly effective information retrieval models for both smaller, classical data sets, and larger Web collections. In a shift away from heuristic;

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Introduction to Information Retrieval

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas;

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Learning to Rank for Information Retrieval and Natural Language Processing

, theories, applications, and future work. The author begins by showing that various ranking problems in information retrieval and natural;

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An Introduction to Neural Information Retrieval

Retrieval provides a tutorial introduction to neural methods for ranking documents in response to a query, an important IR task. This monograph;

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Information Retrieval Technology

This book constitutes the refereed proceedings of the 11th Information Retrieval Societies Conference, AIRS 2015, held in Brisbane, QLD;

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Ontology Learning and Population from Text

web. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications discusses ontologies for the semantic web, as well as;

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Information Retrieval

Multimedia Resource Discovery Image Users' Needs and Searching Behaviour Web Information Retrieval Mobile Search Context and Information Retrieval;

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Building an Intelligent Web

advanced Web mining topics. Topics covered include Web Intelligence, Information Retrieval, Semantic Web, Classification and Association Rules, SQL;

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Machine Learning for Text

of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. - Sequence;

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Machine Learning for Text

of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. - Sequence;

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Interactive Information Retrieval in Digital Environments

libraries, Web search engines, online databases, and online public access catalogs. Interactive Information Retrieval in Digital Environments;

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String Processing and Information Retrieval

); information retrieval languages, applications, and evaluation (IR modeling, indexing, ranking and ?ltering, - terface design, visualization, cross;

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Information Retrieval

experimentation; each chapter includes exercises and suggestions for student projects. Wumpus -- a multiuser open-source information-retrieval system;

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Information Retrieval

An introduction to information retrieval, the foundation for modern search engines, that emphasizes implementation and experimentation;

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String Processing and Information Retrieval

of the papers is on fundamental studies of string processes and information retrieval and its applications for example to areas such as;

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Organizing Knowledge

via the Web, metadata and managing information retrieval systems, the book explains principles relating to hybrid print-based and electronic;

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Understanding Information Retrieval Systems

standards and protocols, the Semantic Web, XML information retrieval, Web social mining, search engine optimization, specialized museum and library;

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Advances in Information Retrieval

. The contributions are organized in sections named: query representation; blogs and online-community search; semi-structured retrieval;

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