Fuzzy-Match searching system ranks the documents, putting the best (or most relevant) documents at the top of the screen. Relevancy is determined by a number of factors to give you the best documents first.
The accuracy with which an organic search match is closely related to the query. A match with very high relevance will be ranked higher. Search engines sort the matches by relevance using a ranking algorithm. The algorithms use many increasingly sophisticated factors, including the location of the keywords on the matching web pages, the authority of the page, the anchor text of inbound links, the keyword density, presence of related keywords, proximity of different keywords.
ranking of hits/items/results retrieved from a search. Relevance is a measure of how closely search results match the search request.Search engines vary in the way they determine relevance. In some a document is considered more relevant if the words appear in certain fields, perhaps the title or the summary field. In others relevance is establishedby a percentage determined simply by how many times the keywords appears in the document divided by the total number of words on the page. Some new search engines consider popularity and linkage in their relevance formulas.
In certain searches TrinCat will determine which items are the most closely related to your topic. These items will display in red (5 dots) and will rank books down to black (1 dot).
A search engine's numeric measure of how well a particular URL matches terms entered in a search query.
1. Appropriateness of a resource, including web pages, articles, books, and databases, to a research project and topic. See, Determining the Information You Need. 2. [Search engine] results are usually returned in ranked order by relevance. Relevance may be determined by the number of times words from your search query appear in the document, where the words occur, and how close together the words appear. See: Search Techniques.
A search engines estimate of how closely your search results matched your keywords. Most search engines rank the results by relevance, showing you the best matches first.
A measure of how well results match your query, often based on frequency of occurrence within an entry.
The degree to which a web page satisfies a search query.
The usefulness of a response to a query. Most search engines rank their hits from the best match to the query to the poorest.
calculated on the occurrence and co-occurrence of words in the text (algorithms calculated in this way are the basis of search engines, augmented by various devices borrowed from natural language processing).
How revelant a record is to a search query
Relevance or relevant page is the highest possibility of a given web page to be of use to a search engine user for a particular keyword search.
The measure of the accuracy of the search results - in other words it's a measure of how close the documents listed in the search results are to what the user was looking for. The ability to return relevant results is a big thing in the search engine world - and arguably the one thing that made Google stand out of the crowd and gain much popularity in a short time. Also see precision and recall .
A measure of how well a document satisfies the user's information requested. Relevancy Algorithm: Method used by search engines and directories to rank the content in their database. Each search engine and directory uses a different algorithm and frequently changes this formula to refresh their results data.
The basis for effective communication of knowledge. Relevance is the factor that governs the effectiveness of each communication process. Since the purpose of information retrieval is communication, relevance is also the key ingredient in effective retrieval. A retrieval transaction is considered successful when the retrieved documents are relevant to the patron who requested them. Hence relevance may be thought of as the criterion of retrieval success. Unfortunately, relevance is an abstract notion and an illusive property. As yet, it cannot be precisely defined nor accurately measured. (Kwasnik, Oh : 1995)
The relation between what a user is searching for, and the search results he gets
For search engines, relevance refers to the ability to return results that match a user's intent. The better the match between the intent and the results, the higher the relevance rating.
A measure of how closely a database entry matches a search request. Most search tools on the Web return results based on relevance. The specific algorithm for computing relevance varies from one service to another, but it's often based on the number of times terms in the search expression appear in the document and whether they appear in the appropriate fields.
A search engine subjectively decides how well your site satisfies a query and how much information your site provides about a certain search term. That is, if your site is about cats, it's probably not very relevant to a search about blue jeans.
The likelihood that a given web page will be of interest or useful to a search engine user for a keyword search. See also: ClickThrough Rate, Search Engine Marketing, Search Engine Optimization, Spamglish, Splash Page
A subjective measure of how well a document satisfies the user's information need. Ideally, your search tool should retrieve all of the documents relevant to your search. However, this is subjective and difficult to quantify.
In computer science, and particularly in search engines, relevance is a numerical score assigned to a search result, representing how well the result meets the information need of the user that issued the search query. In many cases, a result's relevance determines the order in which it is presented to the user.