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Temporal Information Retrieval
Temporal information retrieval (T-IR) is an emerging area of research related to the field of information retrieval (IR) and a considerable number of sub-areas, positioning itself, as an important dimension in the context of the user information needs. According to information theory science (Metzger, 2007), timeliness or currency is one of the key five aspects that determine a document's credibility besides relevance, accuracy, objectivity and coverage. One can provide many examples when the returned search results are of little value due to temporal problems such as obsolete data on weather, outdated information about a given company's earnings or information on already-happened or invalid predictions. T-IR, in general, aims at satisfying these temporal needs and at combining traditional notions of document relevance with the so-called temporal relevance. This will enable the return of temporally relevant documents, thus providing a temporal overview of the results in the form ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Information Retrieval
Information retrieval (IR) in computing and information science is the process of obtaining information system resources that are relevant to an information need from a collection of those resources. Searches can be based on full-text or other content-based indexing. Information retrieval is the science of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes data, and for databases of texts, images or sounds. Automated information retrieval systems are used to reduce what has been called information overload. An IR system is a software system that provides access to books, journals and other documents; stores and manages those documents. Web search engines are the most visible IR applications. Overview An information retrieval process begins when a user or searcher enters a query into the system. Queries are formal statements of information needs, for example search strings in web search engines. In inf ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Information Theory
Information theory is the scientific study of the quantification (science), quantification, computer data storage, storage, and telecommunication, communication of information. The field was originally established by the works of Harry Nyquist and Ralph Hartley, in the 1920s, and Claude Shannon in the 1940s. The field is at the intersection of probability theory, statistics, computer science, statistical mechanics, information engineering (field), information engineering, and electrical engineering. A key measure in information theory is information entropy, entropy. Entropy quantifies the amount of uncertainty involved in the value of a random variable or the outcome of a random process. For example, identifying the outcome of a fair coin flip (with two equally likely outcomes) provides less information (lower entropy) than specifying the outcome from a roll of a dice, die (with six equally likely outcomes). Some other important measures in information theory are mutual informat ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Query Understanding
Query understanding is the process of inferring the user intent, intent of a search engine (computing), search engine user by extracting semantic meaning from the searcher’s keywords. Query understanding methods generally take place before the search engine information retrieval, retrieves and ranking (information retrieval), ranks results. It is related to natural language processing but specifically focused on the understanding of search queries. Query understanding is at the heart of technologies like Amazon Alexa, Apple Inc., Apple's Siri. Google Assistant, IBM's Watson (computer), Watson, and Microsoft's Cortana (software), Cortana. Methods Tokenization Tokenization (lexical analysis), Tokenization is the process of breaking up a string (computer science), text string into words or other meaningful elements called tokens. Typically, tokenization occurs at the word level. However, it is sometimes difficult to define what is meant by a "word". Often a tokenizer relies on simpl ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Krysta Svore
Krysta Marie Svore (born 1979) is an American computer scientist specializing in quantum computing. She leads the Azure Quantum software team (formerly the Quantum Architectures and Computation group at Microsoft Research) for Microsoft Microsoft Corporation is an American multinational technology corporation producing computer software, consumer electronics, personal computers, and related services headquartered at the Microsoft Redmond campus located in Redmond, Washing ... in Redmond, Washington, where she is Distinguished Scientist and Vice President of Quantum Software. Beyond quantum computing, she has also worked on research in machine learning. Education and career Svore is originally from the Seattle, Washington area. She majored in mathematics at Princeton University, and became intrigued by the possibilities of quantum computing through a junior-year seminar on cryptography given by Andrew Wiles, in which she learned of the ability of quantum computers using ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Www2
In the Domain Name System (DNS) hierarchy, a subdomain is a domain that is a part of another (main) domain. For example, if a domain offered an online store as part of their website example.com, it might use the subdomain shop.example.com . Overview The Domain Name System (DNS) has a tree structure or hierarchy, which includes nodes on the tree being a domain name. A subdomain is a domain that is part of a larger domain. Each label may contain from 1 to 63 octets. The full domain name may not exceed a total length of 253 ASCII characters in its textual representation.RFC 1035, ''Domain names--Implementation and specification'', P. Mockapetris (Nov 1987) Subdomains are defined by editing the DNS zone file pertaining to the parent domain. However, there is an ongoing debate over the use of the term "subdomain" when referring to names which map to the Address record A (host) and various other types of zone records which may map to any public IP address destination and any ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Www2009
The World Wide Web (WWW), commonly known as the Web, is an information system enabling documents and other web resources to be accessed over the Internet. Documents and downloadable media are made available to the network through web servers and can be accessed by programs such as web browsers. Servers and resources on the World Wide Web are identified and located through character strings called uniform resource locators (URLs). The original and still very common document type is a web page formatted in Hypertext Markup Language (HTML). This markup language supports plain text, images, embedded video and audio contents, and scripts (short programs) that implement complex user interaction. The HTML language also supports hyperlinks (embedded URLs) which provide immediate access to other web resources. Web navigation, or web surfing, is the common practice of following such hyperlinks across multiple websites. Web applications are web pages that function as ap ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Svetlana Lazebnik
Svetlana Lazebnik (born 1979) is a Ukrainian-American researcher in computer vision who works as a professor of computer science and Willett Faculty Scholar at the University of Illinois at Urbana–Champaign. Her research involves interactions between image understanding and natural language processing, including the automated captioning of images, and the development of a benchmark database of textually grounded images. Education and career Lazebnik was born in Kyiv in 1979 to a family of Ukrainian Jews, and emigrated with her family to the US as a teenager. She majored in computer science at DePaul University, minoring in mathematics and graduating with the highest honors in 2000. She completed her Ph.D. in 2006 at the University of Illinois at Urbana–Champaign, with the dissertation ''Local, Semi-Local and Global Models for Texture, Object and Scene Recognition'' supervised by Jean Ponce. After postdoctoral research at the University of Illinois, she became an assistant pro ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
