Frontiers, challenges, and opportunities for information retrieval (original) (raw)
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Although we see the positive results of information retrieval research embodied throughout the Internet, on our computer desktops, and in many other aspects of daily life, at the same time we notice that people still have a wide variety of difficulties in finding information that is useful in resolving their problematic situations. This suggests that there still remain substantial challenges for research in IR. Already in 1988, on the occasion of receiving the ACM SIGIR Gerard Salton Award, Karen Spärck Jones suggested that substantial progress in information retrieval was likely only to come through addressing issues associated with users (actual or potential) of IR systems, rather than continuing IR research's almost exclusive focus on document representation and matching and ranking techniques. In recent years it appears that her message has begun to be heard, yet we still have relatively few substantive results that respond to it. In this paper, I identify and discuss a few ...
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Abstract Since its inception in the late 1950s, the field of Information Retrieval (IR) has developed tools that help people find, organize, and analyze information. The key early influences on the field are well-known. Among them are HP Luhn's pioneering work, the development of the vector space retrieval model by Salton and his students, Cleverdon's development of the Cranfield experimental methodology, Spärck Jones' development of idf, and a series of probabilistic retrieval models by Robertson and Croft.
Evaluation methodologies in information retrieval dagstuhl seminar 13441
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This report documents the program and the outcome of Dagstuhl Seminar 13441 "Evaluation Methodologies in Information Retrieval", which brought together 42 participants from 11 countries. The seminar was motivated by the fact that today's information retrieval (IR) applications can hardly be evaluated based on the classic test collection paradigm, thus there is a need for new evaluation approaches. The event started with five introductory talks on evaluation frameworks, user modeling for evaluation, evaluation criteria, measures, evaluation methodology, and new trends in IR evaluation. The seminar participants then formed working groups addressing specific aspects of IR evaluation, such as reliability and validity, task-based IR, learning as search outcome, searching for fun, IR and social media, graph search, domain-specific IR, interaction measures and models, and searcher-aware information access systems.
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The Information Retrieval Workshop was held on the 22nd of October, 2004 at the IEEE Teachers Building in St Enoch's Centre, Glasgow. The event attracted over twenty Information Retrieval Researchers from the University of Glasgow and the University of Strathclyde, comprising of Academic Staff, Research Assistants and PhD Students.
The University of Massachusetts participated in five tracks in TREC-5: Ad-hoc, Routing, Filtering, Chinese, and Spanish. Our results are generally positive, continuing to indicate that the techniques we have applied perform well in a variety of settings. Significant changes in our approaches include emphasis on identifying key concepts/terms in the query topics, expansion of the query using a variant of automatic feedback called" Local Context Analysis", and application of these techniques to a non-European language.
IR-BASE: An Integrated Framework for the Research and Teaching of Information Retrieval Technologies
Due to the rapid growth in digital storage technologies, Information Retrieval (IR) has gained a significant importance, both for academia and for the industry. However, very few proposals have been made for the creation of an environment capable of both providing useful IR services and acting as a workbench for the design, implementation, and research of new IR solutions. In this work, we propose IR-BASE, a basic object oriented framework for the integration of components, documentation and services, focused on the rapid development of prototypes for research and teaching. At its core, IR-BASE consists of a set of base classes that provide a skeleton to create new IR components, a set of guidelines to ensure that the developed components are fully interoperable, and a component pool, where IR-BASE users can find implementations of all kinds of functionalities needed to build a full IR system, and to which IR-BASE users can contribute with their own implementations. IR-BASE is of interest not only to IR researchers and professionals, who want to rapidly develop prototypes to test new ideas, but also to teachers and students, who will have an easily configurable, modifiable and extendible set of components to act has a basis for learning, building and experimenting with current IR algorithms.