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Web search engines which support proximity search via an explicit proximity operator in their query language include Walhello, Exalead, Yandex, Yahoo!, Altavista, and Bing: When using the Walhello search-engine, the proximity can be defined by the number of characters between the keywords. [1]
In computer science there are binary and unary operators depending on the number of elements or records an operator acts on. In database searching there are Boolean and Proximity operators. Boolean operators are a subclass of logical operators (Logical operators are binary operators that manipulate data at the bit level.). A Boolean operator ...
Part of Web of Science: Subscription Clarivate Analytics: ScienceOpen: Multidisciplinary Search engine for natural and physical sciences, social sciences, and humanities. Incorporates arXiv, PubMed, and SciELO. Integrated with ORCID for overlay and peer review services. All articles display Altmetric scores. Free ScienceOpen [135]
The Web of Science (WoS; previously known as Web of Knowledge) is a paid-access platform that provides (typically via the internet) access to multiple databases that provide reference and citation data from academic journals, conference proceedings, and other documents in various academic disciplines.
Phrase search is one of many search operators that are standard in search engine technology, along with Boolean operators (AND, OR, and NOT), truncation and wildcard operators (commonly represented by the asterisk symbol), field code operators (which look for specific words in defined fields, such as the Author field in a periodical database ...
Nearest neighbor search (NNS), as a form of proximity search, is the optimization problem of finding the point in a given set that is closest (or most similar) to a given point. Closeness is typically expressed in terms of a dissimilarity function: the less similar the objects, the larger the function values.
The proximal operator can be seen as a generalization of the projection operator. Indeed, in the specific case where f {\displaystyle f} is the 0- ∞ {\displaystyle \infty } characteristic function ι C {\displaystyle \iota _{C}} of a nonempty, closed, convex set C {\displaystyle C} we have that
The (standard) Boolean model of information retrieval (BIR) [1] is a classical information retrieval (IR) model and, at the same time, the first and most-adopted one. [2] The BIR is based on Boolean logic and classical set theory in that both the documents to be searched and the user's query are conceived as sets of terms (a bag-of-words model).