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TrustRank is an algorithm that conducts link analysis to separate useful webpages from spam and helps search engine rank pages in SERPs (Search Engine Results Pages). It is semi-automated process which means that it needs some human assistance in order to function properly.
Cross-platform open-source desktop search engine. Unmaintained since 2011-06-02 [9]. LGPL v2 [10] Terrier Search Engine: Linux, Mac OS X, Unix: Desktop search for Windows, Mac OS X (Tiger), Unix/Linux. MPL v1.1 [11] Tracker: Linux, Unix: Open-source desktop search tool for Unix/Linux GPL v2 [12] Tropes Zoom: Windows: Semantic Search Engine (no ...
The resulting “link popularity” is a measure of the number and quality of links to a website. It is an integral part of a website's ranking in search engines. Search engines examine each of the links to a particular website to determine its value. Although every link to a website is a vote in its favor, not all votes are counted equally.
Ranking of query is one of the fundamental problems in information retrieval (IR), [1] the scientific/engineering discipline behind search engines. [2] Given a query q and a collection D of documents that match the query, the problem is to rank, that is, sort, the documents in D according to some criterion so that the "best" results appear early in the result list displayed to the user.
Organic Link. Most search terms primarily yield organic links, which are displayed below sponsored links and are ranked by their relevance to the search query. These organic results are determined by the search engine's algorithm. In certain cases, the leading organic results might coincide with, or closely resemble, the sponsored links.
A web resource may be (for example) a website, web page, or web directory. [1] A backlink is a reference comparable to a citation. [2] The quantity, quality, and relevance of backlinks for a web page are among the factors that search engines like Google evaluate in order to estimate how important the page is.
Dogpile is a metasearch engine for information on the World Wide Web that fetches results from Google, Yahoo!, Yandex, Bing, [2] [3] and other popular search engines, including those from audio and video content providers such as Yahoo!.
These probabilities ordered by their decreasing values give the PageRank vector with the PageRank used by Google search to rank webpages. Usually one has for the World Wide Web that P ∝ 1 / K β {\displaystyle P\propto 1/K^{\beta }} with β ≈ 0.9 {\displaystyle \beta \approx 0.9} .