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Learning to rank [1] or machine-learned ranking ( MLR) is the application of machine learning, typically supervised, semi-supervised or reinforcement learning, in the construction of ranking models for information retrieval systems. [2] Training data may, for example, consist of lists of items with some partial order specified between items in ...
Current status. defunct. Technorati was a search engine and a publisher advertising platform that served as an advertising solution for the thousands of websites in its network. [2] Technorati launched its ad network in 2008, and at one time was one of the largest ad networks reaching more than 100 million unique visitors per month. [3]
Full-text search. In text retrieval, full-text search refers to techniques for searching a single computer -stored document or a collection in a full-text database. Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or ...
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Apache Solr. Solr (pronounced "solar") is an open-source enterprise-search platform, written in Java. Its major features include full-text search, hit highlighting, faceted search, real-time indexing, dynamic clustering, database integration, NoSQL features [2] and rich document (e.g., Word, PDF) handling. Providing distributed search and index ...
Kardashian Index. v. t. e. Journal ranking is widely used in academic circles in the evaluation of an academic journal 's impact and quality. Journal rankings are intended to reflect the place of a journal within its field, the relative difficulty of being published in that journal, and the prestige associated with it.
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