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The Gerard Salton Award is presented by the Association for Computing Machinery (ACM) Special Interest Group on Information Retrieval (SIGIR) every three years to an individual who has made "significant, sustained and continuing contributions to research in information retrieval". [1] SIGIR also co-sponsors (with SIGWEB) the Vannevar Bush Award, for the best paper at the Joint Conference on Digital Libraries. [2]
Source: SIGIR
Information retrieval (IR) in computing and information science is the task of identifying and retrieving information system resources that are relevant to an information need. The information need can be specified in the form of a search query. In the case of document retrieval, queries 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.
In information science and information retrieval, relevance denotes how well a retrieved document or set of documents meets the information need of the user. Relevance may include concerns such as timeliness, authority or novelty of the result.
Gerard A. "Gerry" Salton was a professor of Computer Science at Cornell University. Salton was perhaps the leading computer scientist working in the field of information retrieval during his time, and "the father of Information Retrieval". His group at Cornell developed the SMART Information Retrieval System, which he initiated when he was at Harvard. It was the very first system to use the now popular vector space model for information retrieval.
The SMART Information Retrieval System is an information retrieval system developed at Cornell University in the 1960s. Many important concepts in information retrieval were developed as part of research on the SMART system, including the vector space model, relevance feedback, and Rocchio classification.
Susan Dumais is an American computer scientist who is a leader in the field of information retrieval, and has been a significant contributor to Microsoft's search technologies. According to Mary Jane Irwin, who heads the Athena Lecture awards committee, “Her sustained contributions have shaped the thinking and direction of human-computer interaction and information retrieval."
SIGKDD, representing the Association for Computing Machinery's (ACM) Special Interest Group (SIG) on Knowledge Discovery and Data Mining, hosts an influential annual conference.
Nicholas J. Belkin is a professor at the School of Communication and Information at Rutgers University. Among the main themes of his research are digital libraries; information-seeking behaviors; and interaction between humans and information retrieval systems. Belkin is best known for his work on human-centered Information Retrieval and the hypothesis of Anomalous State of Knowledge (ASK). Belkin realized that in many cases, users of search systems are unable to precisely formulate what they need. They miss some vital knowledge to formulate their queries. In such cases it is more suitable to attempt to describe a user's anomalous state of knowledge than to ask the user to specify her/his need as a request to the system.
SIGIR is the Association for Computing Machinery's Special Interest Group on Information Retrieval. The scope of the group's specialty is the theory and application of computers to the acquisition, organization, storage, retrieval and distribution of information; emphasis is placed on working with non-numeric information, ranging from natural language to highly structured data bases.
Human–computer information retrieval (HCIR) is the study and engineering of information retrieval techniques that bring human intelligence into the search process. It combines the fields of human-computer interaction (HCI) and information retrieval (IR) and creates systems that improve search by taking into account the human context, or through a multi-step search process that provides the opportunity for human feedback.
Karen Ida Boalth Spärck Jones was a self-taught programmer and a pioneering British computer scientist responsible for the concept of inverse document frequency (IDF), a technology that underlies most modern search engines. She was an advocate for women in computer science, her slogan being, "Computing is too important to be left to men." In 2019, The New York Times published her belated obituary in its series Overlooked, calling her "a pioneer of computer science for work combining statistics and linguistics, and an advocate for women in the field." From 2008, to recognize her achievements in the fields of information retrieval (IR) and natural language processing (NLP), the Karen Spärck Jones Award is awarded to a new recipient with outstanding research in one or both of her fields.
The Cranfield experiments were a series of experimental studies in information retrieval conducted by Cyril W. Cleverdon at the College of Aeronautics, today known as Cranfield University, in the 1960s to evaluate the efficiency of indexing systems. The experiments were broken into two main phases, neither of which was computerized. The entire collection of abstracts, resulting indexes and results were later distributed in electronic format and were widely used for decades.
W. Bruce Croft is a distinguished professor of computer science at the University of Massachusetts Amherst whose work focuses on information retrieval. He is the founder of the Center for Intelligent Information Retrieval and served as the editor-in-chief of ACM Transactions on Information Systems from 1995 to 2002. He was also a member of the National Research Council Computer Science and Telecommunications Board from 2000 to 2003. Since 2015, he is the Dean of the College of Information and Computer Sciences at the University of Massachusetts Amherst. He was Chair of the UMass Amherst Computer Science Department from 2001 to 2007.
Norbert Fuhr is a professor of computer science and the leader of the Duisburg Information Engineering Group based at the University of Duisburg-Essen, Germany.
Monika Henzinger is a German computer scientist, and is a former director of research at Google. She is currently a professor at the Institute of Science and Technology Austria. Her expertise is mainly on algorithms with a focus on data structures, algorithmic game theory, information retrieval, search algorithms and Web data mining. She is married to Thomas Henzinger and has three children.
John D. Lafferty is an American scientist, Professor at Yale University and leading researcher in machine learning. He is best known for proposing the Conditional Random Fields with Andrew McCallum and Fernando C.N. Pereira.
ChengXiang Zhai is a computer scientist. He is a Donald Biggar Willett Professor in Engineering in the Department of Computer Science at the University of Illinois at Urbana-Champaign.
Ellen Marie Voorhees is an American computer scientist known for her work in document retrieval, information retrieval, and natural language processing. She works in the retrieval group at the National Institute of Standards and Technology (NIST).
Christopher D Paice was one of the pioneers of research into stemming. The Paice-Husk stemmer was published in 1990 and his method of evaluation of stemmer performance by means of Error Rate with Respect to Truncation (ERRT) was the first direct method of comparing under-stemming and over-stemming errors. Apart from his pioneering work on stemming algorithms and evaluation methods he made other research contributions in the area of Information Retrieval, anaphora resolution and automatic abstracting.
Gonzalo Navarro Badino is a full professor of computer science at the University of Chile and ACM Distinguished Member, whose interests include algorithms and data structures, data compression and text searching. He also participates in the Center for Biotechnology and Bioengineering and the Millennium Institute for Foundational Research on Data .. He obtained his PhD at the University of Chile in 1998 under the supervision of Ricardo Baeza-Yates with the thesis Approximate Text Searching, then worked as a post-doctoral researcher with Esko Ukkonen and Maxime Crochemore.
Tefko Saracevic is professor emeritus at the School of Communication and Information at Rutgers University. He is a contributor to the theoretical concept of relevance and a prominent information scientist. He has been President of the Association for Information Science and Technology Born November 24, 1930, in Zagreb, Croatia came to U.S., 1959; naturalized, 1964.