文件名称:Inverted-Indexing-for-Text-retrieval
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- 人工智能/神经网络/遗传算法
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- [PDF]
- 上传时间：
- 2013-04-09
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- 584kb
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- m**
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Web search is the quintessential large-data problem. Given an information
need expressed as a short query consisting of a few terms, the system s task
is to retrieve relevant web objects (web pages, PDF documents, PowerPoint
slides, etc.) and present them to the user. How large is the web? It is dicult
to compute exactly, but even a conservative estimate would place the size at
several tens of billions of pages, totaling hundreds of terabytes (considering
text alone). In real-world applications, users demand results quickly from a
search engine|query latencies longer than a few hundred milliseconds will try
a user s patience. Ful lling these requirements is quite an engineering feat,
considering the amounts of data involved!
need expressed as a short query consisting of a few terms, the system s task
is to retrieve relevant web objects (web pages, PDF documents, PowerPoint
slides, etc.) and present them to the user. How large is the web? It is dicult
to compute exactly, but even a conservative estimate would place the size at
several tens of billions of pages, totaling hundreds of terabytes (considering
text alone). In real-world applications, users demand results quickly from a
search engine|query latencies longer than a few hundred milliseconds will try
a user s patience. Ful lling these requirements is quite an engineering feat,
considering the amounts of data involved!
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Inverted Indexing for Text retrieval.pdf