A concept search (or conceptual search) is an automated information retrieval method that is used to search electronically stored unstructured text (for example, digital archives, email, scientific literature, etc.) for information that is conceptually similar to the information provided in a search query. In other words, the ideas expressed in the information retrieved in response to a
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Concept search techniques were developed because of limitations imposed by classical Boolean keyword search technologies when dealing with large, unstructured digital collections of text. Keyword searches often return results that include many non-relevant items (false positives) or that exclude too many relevant items (false negatives) because of the effects of synonymy and polysemy. Synonymy
In general, information retrieval research and technology can be divided into two broad categories: semantic and statistical. Information retrieval systems that fall into the semantic category will attempt to implement some degree of syntactic and semantic analysis of the natural language text that a human user would provide (also see computational linguistics). Systems that fall into the
eDiscovery - Concept-based search technologies are increasingly being used for Electronic Document Discovery (EDD or eDiscovery) to help enterprises prepare for litigation. In eDiscovery, the ability to cluster, categorize, and search large collections of unstructured text on a conceptual basis is much more efficient than traditional linear review techniques. Concept-based searching is
The effectiveness of a concept search can depend on a variety of elements including the dataset being searched and the search engine that is used to process queries and display results. However, most concept search engines work best for certain kinds of queries: Effective queries are composed of enough text to adequately convey the intended concepts. Effective queries may include full sentences,
Relevance feedback is a feature that helps users determine if the results returned for their queries meet their information needs. In other words, relevance is assessed relative to an information need, not a query. A document is relevant if it addresses the stated information need, not because it just happens to contain all the words in the query.It is a way to involve users in the retrieval
Result items should be relevant to the information need expressed by the concepts contained in the query statements, even if the terminology used by the result items is different from the terminology used in the query. Result items should be sorted and ranked by relevance. Relevant result items should be quickly located and displayed. Even complex queries should return relevant results fairly
Formalized search engine evaluation has been ongoing for many years. For example, the Text REtrieval Conference (TREC) was started in 1992 to support research within the information retrieval community by providing the infrastructure necessary for large-scale evaluation of text retrieval methodologies. Most of today's commercial search engines include technology first developed in TREC. In
In Internet Marketing, Search Advertising is a method of placing online advertisements on Web pages that show results from search engine queries. Through the same search-engine advertising services, ads can also be placed on Web pages with other published . Search advertisements are targeted to match key search terms (called keywords) entered on search engines. This targeting ability has contributed
Search advertising is sold and delivered on the basis of keywords. The user of a search engine enters keywords to make queries. A keyword may consist of more than one word. Search engines conduct running auctions to sell ads according to bids received for keywords and relative relevance of user keywords to ads in the inventory. The keyword “home mortgage refinancing" is more expensive than
Search advertising activities can be measured in five ways: CPM: Cost per thousand viewers was the original method used for pricing online advertisements. CPM remains the most common method for pricing banner ads. CTR: Click-through rates measure the number of times an ad is clicked as a percentage of views of the Web page on which the ad appears. Banner ads have CTRs that are generally 0.5
A metasearch engine is a search tool that sends user requests to several other search engines and/or databases and aggregates the results into a single list or displays them according to their source. Metasearch engines enable users to enter search criteria once and access several search engines simultaneously. Metasearch engines operate on the premise that the Web is too large for any
"Search engine" redirects here. For other uses, see Search engine (disambiguation). The three most widely used web search engines and their approximate share as of late 2010. A web search engine is designed to search for information on the World Wide Web and FTP servers. The search results are generally presented in a list of results and are often called hits. The information may consist
Image of definition link provided for many search terms. Image of definition link provided for many search terms.Google search consists of a series of localized websites. The largest of those, the google.com site, is the top most-visited website in the world. Some of its features include a definition link for most searches including dictionary words, the number of results you got
PageRankGoogle's rise to success was in large part due to a patented algorithm called PageRank that helps rank web pages that match a given search string.When Google was a Stanford research project, it was nicknamed BackRub because the technology checks backlinks to determine a site's importance. Previous keyword-based methods of ranking search results, used by many search engines that were
