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Web search engines are listed in tables below for comparison purposes. The first table lists the company behind the engine, volume and ad support and identifies the nature of the software being used as free software or proprietary software. The second and third table lists internet privacy aspects along with other technical parameters, such as ...
Okapi BM25. In information retrieval, Okapi BM25 (BM is an abbreviation of best matching) is a ranking function used by search engines to estimate the relevance of documents to a given search query. It is based on the probabilistic retrieval framework developed in the 1970s and 1980s by Stephen E. Robertson, Karen Spärck Jones, and others.
Keyword research. The objective of keyword research is to generate, with good precision and recall, a large number of terms that are highly relevant yet non-obvious to the given input keyword. [1] The process of keyword research involves brainstorming and the use of keyword research tools, with popular ones including Semrush and Google Trends.
Searx (/ sɜːrks /; stylized as searX) is a free and open-source metasearch engine, [4] available under the GNU Affero General Public License version 3, with the aim of protecting the privacy of its users. [5][6][7] To this end, Searx does not share users' IP addresses or search history with the search engines from which it gathers results ...
Robin Li developed the RankDex site-scoring algorithm for search engines results page ranking [23] [24] [25] and received a US patent for the technology. [26] It was the first search engine that used hyperlinks to measure the quality of websites it was indexing, [27] predating the very similar algorithm patent filed by Google two years later in ...
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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.
Discounted cumulative gain (DCG) is a measure of ranking quality in information retrieval. It is often normalized so that it is comparable across queries, giving Normalized DCG (nDCG or NDCG). NDCG is often used to measure effectiveness of search engine algorithms and related applications. Using a graded relevance scale of documents in a search ...