Contextual
Search
Technology

What is Contexual
Search Analysis
in B2B Search?

Contextual Search Analysis is a method of using search engines to enhance search results by considering additional data and context. It takes into account the context of its arguments, allowing for contextualization and improving relevance. By considering the surrounding queried text and using contextual information, it enhances relevance by extending the query string beyond the original words. This allows applications to use this information to better relate the application to what is being searched for.

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Contextual Search Analysis
is already Utilized by
Big Search Engines.

But what about B2B Data or B2C Data? Contextual search analysis uses search engine technology to make more intelligent searches. Search engines and many meta search engines request certain search services such as particular user queries and returning domain topics. These searches then return documents that provide the user with the relevant information. Bing and Google are two major search services that perform contextual search analyses for users by requesting individual contextual information from the query and performing a user-specific contextual analysis on the returned documents.

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How is Contextual Search Analysis is
used in Recruiting?

Contextual search analysis is used in recruiting to identify the best candidate for a job based on criteria like experience, skills, education, and any other specific keywords related to the position. With this analysis tool, recruiters can quickly scan through resumes and instantly find potential candidates who match their desired criteria. By narrowing down candidates quickly and accurately with contextual search analysis, recruiters are able to make informed decisions about hiring quickly saving them time and money. Contextual search analysis also facilitates better communication between recruiters and applicants as it streamlines the process of locating qualified individuals for job openings.

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How does Contextual Search Analysis Work?

Contextual search analysis uses search engine technology to make more intelligent searches. Search engines and many meta search engines request certain search services such as particular user queries and returning domain topics. These searches then return documents that provide the user with the relevant information. Bing and Google are two major search services that perform contextual search analyses for users by requesting individual contextual information from the query and performing a user-specific contextual analysis on the returned documents.

The search engine scans web search engines, html pages, and other application websites for the query and returns text from these sites. After performing the search, it then looks at the returned results and identifies related text. It then returns an index rating based on how closely the same lexical field contains words related to its context. A removed string is also used to further refine the content of the returned documents to match above description.

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Verify Your Candidates Data and Map Contextually
from Resumes to Job Descriptions with Unnanu

Using hire.unnanu.com, I can verify my candidates’ data and map contextually from resumes to job descriptions. The platform's advanced semantic analysis capabilities allow me to compare resumes with job descriptions in order to accurately assess a candidate's qualifications, skills, and experience. This ensures that the hiring process is fair and efficient while allowing me to quickly identify qualified applicants who meet the job requirements. Additionally, hire.unnanu.com provides insights that help inform my decisions by highlighting key points of comparison between candidates and jobs based on skills, achievements, education, certifications, and more. This allows for an easier way of understanding how a candidate’s background relates to the position they’re applying for, enabling me to make more informed decisions when it comes time to extend an offer.

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