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Query, a precise request for information retrieval made to a database, data structure or information system Query language, a computer language used to make queries into databases and information systems; Query string, in the World Wide Web, is an optional part of a URL; Web search query, a query entered by users into web search engines
In addition, research has shown that query term frequency distributions conform to the power law, or long tail distribution curves. That is, a small portion of the terms observed in a large query log (e.g. > 100 million queries) are used most often, while the remaining terms are used less often individually. [13]
A query string is a part of a uniform resource locator that assigns values to specified parameters.A query string commonly includes fields added to a base URL by a Web browser or other client application, for example as part of an HTML document, choosing the appearance of a page, or jumping to positions in multimedia content.
The information need can be specified in the form of a search query. In the case of document retrieval, queries can be based on full-text or other content-based indexing. Information retrieval is the science [ 1 ] of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes ...
Broadly, query languages can be classified according to whether they are database query languages or information retrieval query languages. The difference is that a database query language attempts to give factual answers to factual questions, while an information retrieval query language attempts to find documents containing information that is relevant to an area of inquiry.
Data retrieval means obtaining data from a database management system (DBMS), like for example an object-oriented database (ODBMS). In this case, it is considered that data is represented in a structured way, and there is no ambiguity in data. In order to retrieve the desired data the user presents a set of criteria by a query. Then the ...
Query understanding is the process of inferring the intent of a search engine user by extracting semantic meaning from the searcher’s keywords. [1] Query understanding methods generally take place before the search engine retrieves and ranks results.
The use of query keywords together with session data is shown to be the most effective method of performing query clustering. Selectional preference based method [5] tries to exploit some association rules between the query terms to help with the query classification. Given the training data, they exploit several classification approaches ...