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65 relations: AltaVista, Apache Solr, Bag-of-words model, Binary classification, Bing (search engine), Collaborative filtering, Computational biology, Conference on Neural Information Processing Systems, Cuil, Discounted cumulative gain, Document retrieval, Feature (machine learning), Feature engineering, Google, Google SearchWiki, Gradient boosting, HITS algorithm, Information retrieval, International Conference on Machine Learning, Kendall rank correlation coefficient, Language model, Logistic regression, Loss function, Machine learning, Machine translation, MatrixNet, Mean reciprocal rank, Mehryar Mohri, Microsoft Research, Microsoft Research Asia, Norbert Fuhr, Okapi BM25, Online advertising, Open-source software, Ordinal regression, PageRank, Partially ordered set, Permutation, Peter Norvig, Polynomial regression, Precision and recall, Query-level feature, Ranking (information retrieval), Recommender system, Reinforcement learning, Relevance (information retrieval), Semi-supervised learning, Sentiment analysis, SIGKDD, Spearman's rank correlation coefficient, ..., Special Interest Group on Information Retrieval, Standard Boolean model, Statistical classification, Stochastic gradient descent, Supervised learning, Text Retrieval Conference, Tf–idf, The Web Conference, Training, test, and validation sets, University of California, Berkeley, Vector space model, Web search engine, Yahoo!, Yahoo! Search Marketing, Yandex. Expand index (15 more) »
AltaVista
AltaVista was a Web search engine established in 1996.
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Apache Solr
Solr (pronounced "solar") is an open source enterprise search platform, written in Java, from the Apache Lucene project.
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Bag-of-words model
The bag-of-words model is a simplifying representation used in natural language processing and information retrieval (IR).
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Binary classification
Binary or binomial classification is the task of classifying the elements of a given set into two groups (predicting which group each one belongs to) on the basis of a classification rule.
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Bing (search engine)
Bing is a web search engine owned and operated by Microsoft.
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Collaborative filtering
Collaborative filtering (CF) is a technique used by recommender systems.
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Computational biology
Computational biology involves the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological, behavioral, and social systems.
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Conference on Neural Information Processing Systems
The Conference and Workshop on Neural Information Processing Systems (NIPS) is a machine learning and computational neuroscience conference held every December.
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Cuil
Cuil was a search engine that organized web pages by content and displayed relatively long entries along with thumbnail pictures for many results.
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Discounted cumulative gain
Discounted cumulative gain (DCG) is a measure of ranking quality.
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Document retrieval
Document retrieval is defined as the matching of some stated user query against a set of free-text records.
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Feature (machine learning)
In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a phenomenon being observed.
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Feature engineering
Feature engineering is the process of using domain knowledge of the data to create features that make machine learning algorithms work.
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Google LLC is an American multinational technology company that specializes in Internet-related services and products, which include online advertising technologies, search engine, cloud computing, software, and hardware.
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Google SearchWiki
SearchWiki was a Google Search feature which allowed logged-in users to annotate and re-order search results.
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Gradient boosting
Gradient boosting is a machine learning technique for regression and classification problems, which produces a prediction model in the form of an ensemble of weak prediction models, typically decision trees.
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HITS algorithm
Hyperlink-Induced Topic Search (HITS; also known as hubs and authorities) is a link analysis algorithm that rates Web pages, developed by Jon Kleinberg.
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Information retrieval
Information retrieval (IR) is the activity of obtaining information system resources relevant to an information need from a collection of information resources.
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International Conference on Machine Learning
The International Conference on Machine Learning (ICML) is the leading international academic conference in machine learning.
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Kendall rank correlation coefficient
In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's tau coefficient (after the Greek letter τ), is a statistic used to measure the ordinal association between two measured quantities.
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Language model
A statistical language model is a probability distribution over sequences of words.
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Logistic regression
In statistics, the logistic model (or logit model) is a statistical model that is usually taken to apply to a binary dependent variable.
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Loss function
In mathematical optimization, statistics, econometrics, decision theory, machine learning and computational neuroscience, a loss function or cost function is a function that maps an event or values of one or more variables onto a real number intuitively representing some "cost" associated with the event.
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Machine learning
Machine learning is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.
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Machine translation
Machine translation, sometimes referred to by the abbreviation MT (not to be confused with computer-aided translation, machine-aided human translation (MAHT) or interactive translation) is a sub-field of computational linguistics that investigates the use of software to translate text or speech from one language to another.
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MatrixNet
MatrixNet is a proprietary machine learning algorithm developed by Yandex and used widely throughout the company products.
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Mean reciprocal rank
The mean reciprocal rank is a statistic measure for evaluating any process that produces a list of possible responses to a sample of queries, ordered by probability of correctness.
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Mehryar Mohri
Mehryar Mohri is a professor of computer science at the Courant Institute of Mathematical Sciences at New York University known for his work in machine learning, automata theory and algorithms, speech recognition and natural language processing.
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Microsoft Research
Microsoft Research is the research subsidiary of Microsoft.
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Microsoft Research Asia
Microsoft Research Asia, Microsoft’s fundamental research arm in the Asia Pacific region, was founded in Beijing China on November 5, 1998.
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Norbert Fuhr
Norbert Fuhr (born 1956) is a professor of computer science and the leader of the Duisburg Information Engineering Group based at the University of Duisburg-Essen, Germany.
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Okapi BM25
In information retrieval, Okapi BM25 (BM stands for Best Matching) is a ranking function used by search engines to rank matching documents according to their relevance to a given search query.
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Online advertising
Online advertising, also called online marketing or Internet advertising or web advertising, is a form of marketing and advertising which uses the Internet to deliver promotional marketing messages to consumers.
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Open-source software
Open-source software (OSS) is a type of computer software whose source code is released under a license in which the copyright holder grants users the rights to study, change, and distribute the software to anyone and for any purpose.
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Ordinal regression
In statistics, ordinal regression (also called "ordinal classification") is a type of regression analysis used for predicting an ordinal variable, i.e. a variable whose value exists on an arbitrary scale where only the relative ordering between different values is significant.
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PageRank
PageRank (PR) is an algorithm used by Google Search to rank websites in their search engine results.
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Partially ordered set
In mathematics, especially order theory, a partially ordered set (also poset) formalizes and generalizes the intuitive concept of an ordering, sequencing, or arrangement of the elements of a set.
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Permutation
In mathematics, the notion of permutation relates to the act of arranging all the members of a set into some sequence or order, or if the set is already ordered, rearranging (reordering) its elements, a process called permuting.
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Peter Norvig
Peter Norvig (born December 14, 1956) is an American computer scientist.
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Polynomial regression
In statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable y is modelled as an nth degree polynomial in x. Polynomial regression fits a nonlinear relationship between the value of x and the corresponding conditional mean of y, denoted E(y |x), and has been used to describe nonlinear phenomena such as the growth rate of tissues, the distribution of carbon isotopes in lake sediments, and the progression of disease epidemics.
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Precision and recall
In pattern recognition, information retrieval and binary classification, precision (also called positive predictive value) is the fraction of relevant instances among the retrieved instances, while recall (also known as sensitivity) is the fraction of relevant instances that have been retrieved over the total amount of relevant instances.
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Query-level feature
A query-level feature or QLF is a ranking feature utilized in a machine-learned ranking algorithm.
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Ranking (information retrieval)
Ranking of query results is one of the fundamental problems in information retrieval (IR), the scientific/engineering discipline behind search engines.
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Recommender system
A recommender system or a recommendation system (sometimes replacing "system" with a synonym such as platform or engine) is a subclass of information filtering system that seeks to predict the "rating" or "preference" a user would give to an item.
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Reinforcement learning
Reinforcement learning (RL) is an area of machine learning inspired by behaviourist psychology, concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward.
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Relevance (information retrieval)
In information science and information retrieval, relevance denotes how well a retrieved document or set of documents meets the information need of the user.
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Semi-supervised learning
Semi-supervised learning is a class of supervised learning tasks and techniques that also make use of unlabeled data for training – typically a small amount of labeled data with a large amount of unlabeled data.
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Sentiment analysis
Opinion mining (sometimes known as sentiment analysis or emotion AI) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.
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SIGKDD
SIGKDD is the Association for Computing Machinery's (ACM) Special Interest Group (SIG) on Knowledge Discovery and Data Mining.
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Spearman's rank correlation coefficient
In statistics, Spearman's rank correlation coefficient or Spearman's rho, named after Charles Spearman and often denoted by the Greek letter \rho (rho) or as r_s, is a nonparametric measure of rank correlation (statistical dependence between the rankings of two variables).
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Special Interest Group on Information Retrieval
SIGIR is the Association for Computing Machinery's Special Interest Group on Information Retrieval.
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Standard Boolean model
The Boolean model of information retrieval (BIR) is a classical information retrieval (IR) model and, at the same time, the first and most-adopted one.
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Statistical classification
In machine learning and statistics, classification is the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known.
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Stochastic gradient descent
Stochastic gradient descent (often shortened to SGD), also known as incremental gradient descent, is an iterative method for optimizing a differentiable objective function, a stochastic approximation of gradient descent optimization.
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Supervised learning
Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs.
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Text Retrieval Conference
The Text REtrieval Conference (TREC) is an ongoing series of workshops focusing on a list of different information retrieval (IR) research areas, or tracks. It is co-sponsored by the National Institute of Standards and Technology (NIST) and the Intelligence Advanced Research Projects Activity (part of the office of the Director of National Intelligence), and began in 1992 as part of the TIPSTER Text program.
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Tf–idf
In information retrieval, tf–idf or TFIDF, short for term frequency–inverse document frequency, is a numerical statistic that is intended to reflect how important a word is to a document in a collection or corpus.
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The Web Conference
The Web Conference (formerly known as International World Wide Web Conference, abbreviated as WWW) is a yearly international academic conference on the topic of the future direction of the World Wide Web.
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Training, test, and validation sets
In machine learning, the study and construction of algorithms that can learn from and make predictions on data is a common task.
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University of California, Berkeley
The University of California, Berkeley (UC Berkeley, Berkeley, Cal, or California) is a public research university in Berkeley, California.
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Vector space model
Vector space model or term vector model is an algebraic model for representing text documents (and any objects, in general) as vectors of identifiers, such as, for example, index terms.
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Web search engine
A web search engine is a software system that is designed to search for information on the World Wide Web.
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Yahoo!
Yahoo! is a web services provider headquartered in Sunnyvale, California and wholly owned by Verizon Communications through Oath Inc..
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Yahoo! Search Marketing
Yahoo Search Marketing is a keyword-based "Pay per click" or "Sponsored search" Internet advertising service provided by Yahoo.
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Yandex
Yandex N.V. (p) is a multinational corporation specializing in Internet-related services and products.
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L2R, Learn to rank, Machine learned ranking, Machine learned relevance, Machine-learned ranking, Machine-learned relevance, Supervised ranking.
References
[1] https://en.wikipedia.org/wiki/Learning_to_rank
