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Current Search:
All of 'Information' and 'retrieval' in all fields;
1068 items found
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Displaying Results 1 - 25 of 1068 on page 1 of 43
Marked
Mark
Query space reduction in information retrieval
(1997)
Kelledy, Fergus
Query space reduction in information retrieval
(1997)
Kelledy, Fergus
Abstract:
Today’s rapidly expanding and dynamic information age coupled with users who are becoming more discerning about what information they want and when they want it poses a serious challenge to information retrieval systems in their attempt to match user’s information needs with information repositories. To date most research on information retrieval has concentrated on improving system effectiveness. However as the amount of online information and the number of users concurrently accessing this information continues to grow at an exponential rate the efficiency of information retrieval systems is now a core concern of information retrieval system developers. Users who were previously content to wait for information they needed are no longer willing or able to do so because in today’s dynamic information age the ‘shelf life’ of information is getting shorter and shorter. This results in increasing pressure on information systems to provide the ‘right’ information at the ‘right’ time. ...
http://doras.dcu.ie/18915/
Marked
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A Proposal for the Evaluation of Adaptive Personalised Information Retrieval
(2010)
LAWLESS, SEAMUS; O'CONNOR, ALEXANDER; MULWA, CATHERINE
A Proposal for the Evaluation of Adaptive Personalised Information Retrieval
(2010)
LAWLESS, SEAMUS; O'CONNOR, ALEXANDER; MULWA, CATHERINE
Abstract:
Personalisation in Information Retrieval is achieved using a range of contextual information such as information about the user, the task being conducted and the device being used. This information is used to devise the most suitable response for the individual?s need. As such personalised Information Retrieval and response composition approaches become more widely used, traditional evaluation measures become less effective and applicable. This paper proposes that contextual, and specifically personalised, approaches to Information Retrieval could benefit from the experience of the Adaptive Hypermedia community. The paper details the approaches to evaluation commonly used by the IR and AH communities and proposes a means of combining and enhancing these disparate approaches in a unified framework for the evaluation of personalised IR systems.
http://hdl.handle.net/2262/39212
Marked
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Combining relevance information in a synchronous collaborative information retrieval environment
(2008)
Foley, Colum; Smeaton, Alan F.; Jones, Gareth J.F.
Combining relevance information in a synchronous collaborative information retrieval environment
(2008)
Foley, Colum; Smeaton, Alan F.; Jones, Gareth J.F.
Abstract:
Traditionally information retrieval (IR) research has focussed on a single user interaction modality, where a user searches to satisfy an information need. Recent advances in both web technologies, such as the sociable web of Web 2.0, and computer hardware, such as tabletop interface devices, have enabled multiple users to collaborate on many computer-related tasks. Due to these advances there is an increasing need to support two or more users searching together at the same time, in order to satisfy a shared information need, which we refer to as Synchronous Collaborative Information Retrieval. Synchronous Collaborative Information Retrieval (SCIR) represents a significant paradigmatic shift from traditional IR systems. In order to support an effective SCIR search, new techniques are required to coordinate users' activities. In this chapter we explore the effectiveness of a sharing of knowledge policy on a collaborating group. Sharing of knowledge refers to the process of passi...
http://doras.dcu.ie/2201/
Marked
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Spoken content retrieval beyond pipeline integration of automatic speech recognition and information retrieval
(2018)
Racca, David
Spoken content retrieval beyond pipeline integration of automatic speech recognition and information retrieval
(2018)
Racca, David
Abstract:
The dramatic increase in the creation of multimedia content is leading to the development of large archives in which a substantial amount of the information is in spoken form. Efficient access to this information requires effective spoken content retrieval (SCR) methods. Traditionally, SCR systems have focused on a pipeline integration of two fundamental technologies: transcription using automatic speech recognition (ASR) and search supported using text-based information retrieval (IR). Existing SCR approaches estimate the relevance of a spoken retrieval item based on the lexical overlap between a user’s query and the textual transcriptions of the items. However, the speech signal contains other potentially valuable non-lexical information that remains largely unexploited by SCR approaches. Particularly, acoustic correlates of speech prosody, that have been shown useful to identify salient words and determine topic changes, have not been exploited by existing SCR approaches. In ad...
http://doras.dcu.ie/22473/
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Report on the CHIIR 2018 Workshop on Evaluation of Personalisation in Information Retrieval (WEPIR 2018)
(2018)
Lawless, Seamus
Report on the CHIIR 2018 Workshop on Evaluation of Personalisation in Information Retrieval (WEPIR 2018)
(2018)
Lawless, Seamus
Abstract:
The Workshop on Evaluation of Personalisation in Information Retrieval (WEPIR 2018) was held in conjunction with the ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2018) in New Brunswick, USA. The purpose of WEPIR 2018 was to bring together researchers from di?erent backgrounds, interested in advancing the evaluation of personalisation in information retrieval. The workshop focused on developing a common understanding of the challenges, requirements and practical limitations of evaluation of personalisation in information retrieval.
http://hdl.handle.net/2262/86852
Marked
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PRES: A score metric for evaluating recall-oriented information retrieval applications
(2010)
Magdy, Walid; Jones, Gareth J.F.
PRES: A score metric for evaluating recall-oriented information retrieval applications
(2010)
Magdy, Walid; Jones, Gareth J.F.
Abstract:
Information retrieval (IR) evaluation scores are generally designed to measure the effectiveness with which relevant documents are identified and retrieved. Many scores have been proposed for this purpose over the years. These have primarily focused on aspects of precision and recall, and while these are often discussed with equal importance, in practice most attention has been given to precision focused metrics. Even for recalloriented IR tasks of growing importance, such as patent retrieval, these precision based scores remain the primary evaluation measures. Our study examines different evaluation measures for a recall-oriented patent retrieval task and demonstrates the limitations of the current scores in comparing different IR systems for this task. We introduce PRES, a novel evaluation metric for this type of application taking account of recall and the user’s search effort. The behaviour of PRES is demonstrated on 48 runs from the CLEF-IP 2009 patent retrieval track. A full a...
http://doras.dcu.ie/16180/
Marked
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Evaluating personal information retrieval
(2012)
Kelly, Liadh; Bunbury, Paul; Jones, Gareth J.F.
Evaluating personal information retrieval
(2012)
Kelly, Liadh; Bunbury, Paul; Jones, Gareth J.F.
Abstract:
Evaluation of personal search over an individual’s personal information space on the desktop or elsewhere is problematic for reasons relating both to the personal and private nature of the data and the associated personal information needs of collection owners. Indeed challenges associated with evaluation in this space are recognised as one of the key factors hindering the development of research in personal information retrieval. We present the “personal information retrieval evaluation (PIRE)” tool, which provides a solution to this evaluation problem using a ‘living laboratory’ approach. This tool allows for the evaluation of retrieval techniques using ‘real’ individuals’ personal collections, queries and result sets, in a cross-comparable repeatable way, while importantly maintaining an individual’s informational privacy.
http://doras.dcu.ie/16883/
Marked
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An analysis of query difficulty for information retrieval in the medical domain
(2014)
Goeuriot, Lorraine; Kelly, Liadh; Leveling, Johannes
An analysis of query difficulty for information retrieval in the medical domain
(2014)
Goeuriot, Lorraine; Kelly, Liadh; Leveling, Johannes
Abstract:
We present a post-hoc analysis of a benchmarking activity for information retrieval (IR) in the medical domain to determine if performance for queries with different levels of complexity can be associated with different IR methods or techniques. Our analysis is based on data and runs for Task 3 of the CLEF 2013 eHealth lab, which provided patient queries and a large medical document collection for patient centred medical information retrieval technique development. We categorise the queries based on their complexity, which is defined as the number of medical concepts they contain. We then show how query complexity affects performance of runs submitted to the lab, and provide suggestions for improving retrieval quality for this complex retrieval task and similar IR evaluation tasks.
http://doras.dcu.ie/20107/
Marked
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Using community trained recommender models for enhanced information retrieval
(2014)
Li, Wei B.
Using community trained recommender models for enhanced information retrieval
(2014)
Li, Wei B.
Abstract:
Research in Information Retrieval (IR) seeks to develop methods which better assist users in finding information which is relevant to their current information needs. Personalization is a significant focus of research for the development of next generation of IR systems. Commercial search engines are exploring methods to incorporate models of the user’s interests to facilitate personalization in IR to improve retrieval effectiveness. However, in some situations there may be no opportunity to learn about the interests of a specific user on a certain topic. This is a significant challenge for IR researchers attempting to improve search effectiveness by exploiting user search behaviour. We propose a solution to this problem based on recommender systems (RSs) in a novel IR model which combines a recommender model with traditional IR methods to improve retrieval results for search tasks, where the IR system has no opportunity to acquire prior information about the user’s knowledge of a...
http://doras.dcu.ie/20209/
Marked
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Utilizing external resources for enriching information retrieval
(2017)
Min, Jinming
Utilizing external resources for enriching information retrieval
(2017)
Min, Jinming
Abstract:
Information retrieval (IR) seeks to support users in finding information relevant to their information needs. One obstacle for many IR algorithms to achieve better results in many IR tasks is that there is insufficient information available to enable relevant content to be identified. For example, users typically enter very short queries, in text-based image retrieval where textual annotations often describe the content of the images inadequately, or there is insufficient user log data for personalization of the search process. This thesis explores the problem of inadequate data in IR tasks. We propose methods for Enriching Information Retrieval (ENIR) which address various challenges relating to insufficient data in IR. Applying standard methods to address these problems can face unexpected challenges. For example, standard query expansion methods assume that the target collection contains sufficient data to be able to identify relevant terms to add to the original query to improve...
http://doras.dcu.ie/21981/
Marked
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Overview of the personalized and collaborative information retrieval (PIR) track at FIRE-2011
(2011)
Ganguly, Debasis; Leveling, Johannes; Curtis, Keith; Li, Wei B.; Jones, Gareth J.F.
Overview of the personalized and collaborative information retrieval (PIR) track at FIRE-2011
(2011)
Ganguly, Debasis; Leveling, Johannes; Curtis, Keith; Li, Wei B.; Jones, Gareth J.F.
Abstract:
The Personalized and collaborative Information Retrieval (PIR) track at FIRE 2011 was organized with an aim to extend standard information retrieval (IR) ad-hoc test collection design to facilitate research on personalized and collaborative IR by collecting additional meta-information during the topic (query) development process. A controlled query generation process through task-based activities with activity logging was used for each topic developer to construct the final list of topics. The standard ad-hoc collection is thus accompanied by a new set of thematically related topics and the associated log information. We believe this can better simulate a real-world search scenario and encourage mining user information from the logs to improve IR effectiveness. A set of 25 TREC formatted topics and the associated metadata of activity logs were released for the participants to use. In this paper we illustrate the data construction phase in detail and also outline two simple ways of u...
http://doras.dcu.ie/16896/
Marked
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Large scale evaluations of multimedia information retrieval: the TRECVid experience
(2005)
Smeaton, Alan F.
Large scale evaluations of multimedia information retrieval: the TRECVid experience
(2005)
Smeaton, Alan F.
Abstract:
Information Retrieval is a supporting technique which underpins a broad range of content-based applications including retrieval, filtering, summarisation, browsing, classification, clustering, automatic linking, and others. Multimedia information retrieval (MMIR) represents those applications when applied to multimedia information such as image, video, music, etc. In this presentation and extended abstract we are primarily concerned with MMIR as applied to information in digital video format. We begin with a brief overview of large scale evaluations of IR tasks in areas such as text, image and music, just to illustrate that this phenomenon is not just restricted to MMIR on video. The main contribution, however, is a set of pointers and a summarisation of the work done as part of TRECVid, the annual benchmarking exercise for video retrieval tasks.
http://doras.dcu.ie/274/
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Teaching information retrieval using research questions to encourage creativity and assess understanding
(2007)
Jones, Gareth J.F.
Teaching information retrieval using research questions to encourage creativity and assess understanding
(2007)
Jones, Gareth J.F.
Abstract:
The study of information retrieval has increased in interest and importance with the explosive growth of online information in recent years. Learning about information retrieval within formal courses of study enables users of search engines to use them more knowledgeably and effectively, while providing the starting point for the explorations of new researchers into novel search technologies. The nature of information retrieval as a topic also makes it an ideal subject for developing a range of interdisciplinary and transferrable skills in those studying it.
http://doras.dcu.ie/16195/
Marked
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Towards evaluation of personalized and collaborative information retrieval
(2011)
Ganguly, Debasis; Leveling, Johannes; Li, Wei B.; Jones, Gareth J.F.
Towards evaluation of personalized and collaborative information retrieval
(2011)
Ganguly, Debasis; Leveling, Johannes; Li, Wei B.; Jones, Gareth J.F.
Abstract:
We propose to extend standard information retrieval (IR) ad-hoc test collection design to facilitate research on personalized and collaborative IR by gathering additional meta-information during the topic (query) development process. We propose a controlled query generation process with activity logging for each topic developer. The standard ad-hoc collection will thus be accompanied by a new set of thematically related topics and the associated log information, and has the potential to simulate a real-world search scenario to encourage retrieval systems to mine user information from the logs to improve IR effectiveness. The proposed methodology described in this paper will be applied in a pilot task which is scheduled to run in the FIRE 2011 evaluation campaign. The task aims at investigating the research question of whether personalized and collaborative IR retrieval experiments and evaluation can be pursued by enriching a standard ad-hoc collection with such meta-information.
http://doras.dcu.ie/16390/
Marked
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An inquiry-based learning approach to teaching information retrieval
(2009)
Jones, Gareth J.F.
An inquiry-based learning approach to teaching information retrieval
(2009)
Jones, Gareth J.F.
Abstract:
The study of information retrieval (IR) has increased in interest and importance with the explosive growth of online information in recent years. Learning about IR within formal courses of study enables users of search engines to use them more knowledgeably and effectively, while providing the starting point for the explorations of new researchers into novel search technologies. Although IR can be taught in a traditional manner of formal classroom instruction with students being led through the details of the subject and expected to reproduce this in assessment, the nature of IR as a topic makes it an ideal subject for inquiry-based learning approaches to teaching. In an inquiry-based learning approach students are introduced to the principles of a subject and then encouraged to develop their understanding by solving structured or open problems. Working through solutions in subsequent class discussions enables students to appreciate the availability of alternative solutions as propo...
http://doras.dcu.ie/16504/
Marked
Mark
Enhanced information retrieval using domain-specific recommender models
(2011)
Li, Wei B.; Ganguly, Debasis; Jones, Gareth J.F.
Enhanced information retrieval using domain-specific recommender models
(2011)
Li, Wei B.; Ganguly, Debasis; Jones, Gareth J.F.
Abstract:
The objective of an information retrieval (IR) system is to retrieve relevant items which meet a user information need. There is currently significant interest in personalized IR which seeks to improve IR effectiveness by incorporating a model of the user’s interests. However, in some situations there may be no opportunity to learn about the interests of a specific user on a certain topic. In our work, we propose an IR approach which combines a recommender algorithm with IR methods to improve retrieval for domains where the system has no opportunity to learn prior information about the user’s knowledge of a domain for which they have not previously entered a query. We use search data from other previous users interested in the same topic to build a recommender model for this topic. When a user enters a query on a topic, new to this user, an appropriate recommender model is selected and used to predict a ranking which the user may find interesting based on the behaviour of previous...
http://doras.dcu.ie/16495/
Marked
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Toward higher effectiveness for recall-oriented information retrieval: A patent retrieval case study
(2012)
Magdy, Walid
Toward higher effectiveness for recall-oriented information retrieval: A patent retrieval case study
(2012)
Magdy, Walid
Abstract:
Research in information retrieval (IR) has largely been directed towards tasks requiring high precision. Recently, other IR applications which can be described as recall-oriented IR tasks have received increased attention in the IR research domain. Prominent among these IR applications are patent search and legal search, where users are typically ready to check hundreds or possibly thousands of documents in order to find any possible relevant document. The main concerns in this kind of application are very different from those in standard precision-oriented IR tasks, where users tend to be focused on finding an answer to their information need that can typically be addressed by one or two relevant documents. For precision-oriented tasks, mean average precision continues to be used as the primary evaluation metric for almost all IR applications. For recall-oriented IR applications the nature of the search task, including objectives, users, queries, and document collections, is differ...
http://doras.dcu.ie/16814/
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An information retrieval approach to identifying infrequent events in surveillance video
(2013)
Little, Suzanne; Jargalsaikhan, Iveel; Clawson, Kathy; Li, Hao; Nieto, Marcos; Direkogl...
An information retrieval approach to identifying infrequent events in surveillance video
(2013)
Little, Suzanne; Jargalsaikhan, Iveel; Clawson, Kathy; Li, Hao; Nieto, Marcos; Direkoglu, Cem; O'Connor, Noel E.; Smeaton, Alan F.; Liu, Jun; Scotney, Bryan; Wang, Hui
Abstract:
This paper presents work on integrating multiple computer vision-based approaches to surveillance video analysis to support user retrieval of video segments showing human activities. Applied computer vision using real-world surveillance video data is an extremely challenging research problem, independently of any information retrieval (IR) issues. Here we describe the issues faced in developing both generic and specific analysis tools and how they were integrated for use in the new TRECVid interactive surveillance event detection task. We present an interaction paradigm and discuss the outcomes from face-to-face end user trials and the resulting feedback on the system from both professionals, who manage surveillance video, and computer vision or machine learning experts. We propose an information retrieval approach to finding events in surveillance video rather than solely relying on traditional annotation using specifically trained classifiers.
http://doras.dcu.ie/17820/
Marked
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Building realistic potential patient queries for medical information retrieval evaluation
(2014)
Goeuriot, Lorraine; Chapman, Wendy; Jones, Gareth J.F.; Kelly, Liadh; Leveling, Johanne...
Building realistic potential patient queries for medical information retrieval evaluation
(2014)
Goeuriot, Lorraine; Chapman, Wendy; Jones, Gareth J.F.; Kelly, Liadh; Leveling, Johannes; Salanterä, Sanna
Abstract:
To evaluate and improve medical information retrieval, benchmarking data sets need to be created. Few benchmarks have been focusing on patients’ information needs. There is a need for additional benchmarks to enable research into effective retrieval methods. In this paper we describe the manual creation of patient queries and investigate their automatic generation. This work is conducted in the framework of a medical evaluation campaign, which aims to evaluate and improve technologies to help patients and laypeople access eHealth data. To this end, the campaign is composed of different tasks, including a medical information retrieval (IR) task. Within this IR task, a web crawl of medically related documents, as well as patient queries are provided to participants. The queries are built to represent the potential information needs patients may have while reading their medical report. We start by describing typical types of patients’ information needs. We then describe how these queri...
http://doras.dcu.ie/20135/
Marked
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Synchronous collaborative information retrieval with relevance feedback
(2006)
Foley, Colum; Smeaton, Alan F.; Lee, Hyowon
Synchronous collaborative information retrieval with relevance feedback
(2006)
Foley, Colum; Smeaton, Alan F.; Lee, Hyowon
Abstract:
Collaboration has been identified as an important aspect in information seeking. People meet to discuss and share ideas and through this interaction an information need is quite often identified. However the process of resolving this information need, through interacting with a search engine and performing a search task, is still an individual activity. We propose an environment which allows users to collaborate to satisfy a shared information need. We discuss ways to divide the search task amongst collaborators and propose the use of relevance feedback, a common information retrieval process, to enable the transfer of knowledge across collaborators during a search session. We describe the process by which co-searchers can collaborate effectively with little redundancy and how we can combine relevance judgements from multiple searchers into a coherent model for synchronous collaborative information retrieval
http://doras.dcu.ie/222/
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MedIR14: medical information retrieval workshop
(2014)
Goeuriot, Lorraine; Jones, Gareth J.F.; Kelly, Liadh; Mueller, Henning; Zobel, Justin
MedIR14: medical information retrieval workshop
(2014)
Goeuriot, Lorraine; Jones, Gareth J.F.; Kelly, Liadh; Mueller, Henning; Zobel, Justin
Abstract:
Medical information is accessible from diverse sources including the general web, social media, journal articles, and hospital records; information searchers can be patients and their families, researchers, practitioners and clinicians. Challenges in medical information retrieval include: diversity of users and user knowledge and expertise; variations in the format, reliability, and quality of biomedical and medical information; the multi-modal nature of much of the data; and the need for accuracy and reliability of medical information. The aim of the workshop is to bring together researchers interested in medical information search with the goal of identifying specic challenges that need to be addressed to advance the state-of-the-art.
http://doras.dcu.ie/20113/
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The TREC2001 video track: information retrieval on digital video information
(2002)
Smeaton, Alan F.; Over, Paul; Costello, Cash J.; de Vries, Arjen P.; Doermann, David; H...
The TREC2001 video track: information retrieval on digital video information
(2002)
Smeaton, Alan F.; Over, Paul; Costello, Cash J.; de Vries, Arjen P.; Doermann, David; Hauptmann, Alexander; Rorvig, Mark E.; Smith, John R.; Wu, Lide
Abstract:
The development of techniques to support content-based access to archives of digital video information has recently started to receive much attention from the research community. During 2001, the annual TREC activity, which has been benchmarking the performance of information retrieval techniques on a range of media for 10 years, included a ”track“ or activity which allowed investigation into approaches to support searching through a video library. This paper is not intended to provide a comprehensive picture of the different approaches taken by the TREC2001 video track participants but instead we give an overview of the TREC video search task and a thumbnail sketch of the approaches taken by different groups. The reason for writing this paper is to highlight the message from the TREC video track that there are now a variety of approaches available for searching and browsing through digital video archives, that these approaches do work, are scalable to larger archives and can yield ...
http://doras.dcu.ie/277/
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Mark
Venturing into the labyrinth: the information retrieval challenge of human digital memories
(2007)
Kelly, Liadh; Jones, Gareth J.F.
Venturing into the labyrinth: the information retrieval challenge of human digital memories
(2007)
Kelly, Liadh; Jones, Gareth J.F.
Abstract:
Advances in digital capture and storage technologies mean that it is now possible to capture and store one’s entire life experiences in a Human Digital Memory (HDM). However, these vast personal archives are of little benefit if an individual cannot locate and retrieve significant items from them. While potentially offering exciting opportunities to support a user in their activities by providing access to information stored from previous experiences, we believe that the features of HDM datasets present new research challenges for information retrieval which must be addressed if these possibilities are to be realised. Specifically we postulate that effective retrieval from HDMs must exploit the rich sources of context data which can be captured and associated with items stored within them. User’s memories of experiences stored within their memory archive will often be linked to these context features. We suggest how such contextual metadata can be exploited within the retrieval proc...
http://doras.dcu.ie/380/
Marked
Mark
An investigation into weighted data fusion for content-based multimedia information retrieval
(2009)
Wilkins, Peter
An investigation into weighted data fusion for content-based multimedia information retrieval
(2009)
Wilkins, Peter
Abstract:
Content Based Multimedia Information Retrieval (CBMIR) is characterised by the combination of noisy sources of information which, in unison, are able to achieve strong performance. In this thesis we focus on the combination of ranked results from the independent retrieval experts which comprise a CBMIR system through linearly weighted data fusion. The independent retrieval experts are low-level multimedia features, each of which contains an indexing function and ranking algorithm. This thesis is comprised of two halves. In the first half, we perform a rigorous empirical investigation into the factors which impact upon performance in linearly weighted data fusion. In the second half, we leverage these finding to create a new class of weight generation algorithms for data fusion which are capable of determining weights at query-time, such that the weights are topic dependent.
http://doras.dcu.ie/14877/
Marked
Mark
Division of labour and sharing of knowledge for synchronous collaborative information retrieval
(2010)
Foley, Colum; Smeaton, Alan F.
Division of labour and sharing of knowledge for synchronous collaborative information retrieval
(2010)
Foley, Colum; Smeaton, Alan F.
Abstract:
Synchronous collaborative information retrieval (SCIR) is concerned with supporting two or more users who search together at the same time in order to satisfy a shared information need. SCIR systems represent a paradigmatic shift in the way we view information retrieval, moving from an individual to a group process and as such the development of novel IR techniques is needed to support this. In this article we present what we believe are two key concepts for the development of effective SCIR namely division of labour (DoL) and sharing of knowledge (SoK). Together these concepts enable coordinated SCIR such that redundancy across group members is reduced whilst enabling each group member to benefit from the discoveries of their collaborators. In this article we outline techniques from state-of-the-art SCIR systems which support these two concepts, primarily through the provision of awareness widgets. We then outline some of our own work into system-mediated techniques for division of...
http://doras.dcu.ie/15755/
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