Statistical Language Models for Information Retrieval 2024 pdf epub mobi 电子书


Statistical Language Models for Information Retrieval

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发表于2024-11-23

Statistical Language Models for Information Retrieval 2024 pdf epub mobi 电子书

Statistical Language Models for Information Retrieval 2024 pdf epub mobi 电子书

Statistical Language Models for Information Retrieval 2024 pdf epub mobi 电子书



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Language Model是Information Retrieval领域最近10年左右发展起来的一个新的模型,相比于旧的Vector Space Model和传统的概率模型,Language Model有更好的理论基础。 此书是在Language Model领域活跃的华裔科学家ChengXiang Zhai所写,非常浅显易懂。其中不乏一些在论文中没...

评分

Language Model是Information Retrieval领域最近10年左右发展起来的一个新的模型,相比于旧的Vector Space Model和传统的概率模型,Language Model有更好的理论基础。 此书是在Language Model领域活跃的华裔科学家ChengXiang Zhai所写,非常浅显易懂。其中不乏一些在论文中没...

评分

Language Model是Information Retrieval领域最近10年左右发展起来的一个新的模型,相比于旧的Vector Space Model和传统的概率模型,Language Model有更好的理论基础。 此书是在Language Model领域活跃的华裔科学家ChengXiang Zhai所写,非常浅显易懂。其中不乏一些在论文中没...

评分

Language Model是Information Retrieval领域最近10年左右发展起来的一个新的模型,相比于旧的Vector Space Model和传统的概率模型,Language Model有更好的理论基础。 此书是在Language Model领域活跃的华裔科学家ChengXiang Zhai所写,非常浅显易懂。其中不乏一些在论文中没...

评分

Language Model是Information Retrieval领域最近10年左右发展起来的一个新的模型,相比于旧的Vector Space Model和传统的概率模型,Language Model有更好的理论基础。 此书是在Language Model领域活跃的华裔科学家ChengXiang Zhai所写,非常浅显易懂。其中不乏一些在论文中没...

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出版者:Morgan and Claypool Publishers
作者:ChengXiang Zhai
出品人:
页数:142
译者:
出版时间:2008-12-31
价格:USD 40.00
装帧:Paperback
isbn号码:9781598295900
丛书系列:

图书标签: 信息检索  ir  机器学习  NLP  统计语言模型  人工智能  搜索引擎  人工智能与信息处理   


Statistical Language Models for Information Retrieval 2024 pdf epub mobi 电子书 图书描述

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 research problem in information retrieval for several decades. In the past ten years, a new generation of retrieval models, often referred to as statistical language models, has been successfully applied to solve many different information retrieval problems. Compared with the traditional models such as the vector space model, these new models have a more sound statistical foundation and can leverage statistical estimation to optimize retrieval parameters. They can also be more easily adapted to model non-traditional and complex retrieval problems. Empirically, they tend to achieve comparable or better performance than a traditional model with less effort on parameter tuning. This book systematically reviews the large body of literature on applying statistical language models to information retrieval with an emphasis on the underlying principles, empirically effective language models, and language models developed for non-traditional retrieval tasks. All the relevant literature has been synthesized to make it easy for a reader to digest the research progress achieved so far and see the frontier of research in this area. The book also offers practitioners an informative introduction to a set of practically useful language models that can effectively solve a variety of retrieval problems. No prior knowledge about information retrieval is required, but some basic knowledge about probability and statistics would be useful for fully digesting all the details.

Statistical Language Models for Information Retrieval 2024 pdf epub mobi 电子书

Statistical Language Models for Information Retrieval 2024 pdf epub mobi 电子书
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Statistical Language Models for Information Retrieval 2024 pdf epub mobi 电子书


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