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Modern Information Retrieval

Modern Information Retrieval,Ricardo A. Baeza-yates,Berthier A. Ribeiro-neto

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Modern Information Retrieval   (Citations: 4930)
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Information retrieval (IR) has changed considerably in the last years with the expansion of the Web (World Wide Web) and the advent of modern and inexpensive graphical user interfaces and mass storage devices. As a result, traditional IR textbooks have become quite out-of-date which has led to the introduction of new IR books recently. Nevertheless, we believe that there is still great need of a book that approaches the field in a rigorous and complete way from a computer-science perspective...
Published in 1999.
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    • ...Then, we measured the quality of EventRiver results against Wikipedia using precision [6], namely the ratio between the number of matching events and the total number of events of this story in EventRiver, and recall [6], namely the ratio between the number of matching events and the total number of events in this story listed in the Wikipedia timeline...
    • ...Then, we measured the quality of EventRiver results against Wikipedia using precision [6], namely the ratio between the number of matching events and the total number of events of this story in EventRiver, and recall [6], namely the ratio between the number of matching events and the total number of events in this story listed in the Wikipedia timeline...

    Dongning Luo, et al. EventRiver: Visually Exploring Text Collections with Temporal Referenc...

    • ...facilitated applications such as text retrieval based on keywords, where the word probability distributions are used to determine the relevance of a text to a given query ...

    Martín Haro, et al. Zipf's Law in Short-Time Timbral Codings of Speech, Music, and Environ...

    • ...In the beginning, Information Retrieval (IR) provided many term-based methods to solve this challenge, such as Rocchio and probabilistic models [4], rough set models [23], BM25 and support vector machine (SVM) [34] based filtering models...

    Ning Zhong, et al. Effective Pattern Discovery for Text Mining

    • ...A relevant score with regard to a video summary is calculated based on a similarity measurement with cosine value (Baeza-Yates & Ribeiro-Neto, 1999)...

    Jie Chi Yang, et al. Investigation of learners' perceptions for video summarization and rec...

    • ...For a topic, let T ¼f t1 ;t 2; ... ;t mg be a set of stemmed vocabulary without stopwords [31]...
    • ...The (i,j)-entry of B (denoted as bi;j) is the weight of term i in block j, computed by using the well-known TF-IDF term weighting scheme [31]...

    Chien Chin Chen, et al. TSCAN: A Content Anatomy Approach to Temporal Topic Summarization

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