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Current Search:
All of 'Information' and 'retrieval' in all fields;
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Displaying Results 1 - 25 of 566 on page 1 of 23
Marked
Mark
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/
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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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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/
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/
Marked
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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 ; Jones, Gareth J.F.
Towards evaluation of personalized and collaborative information retrieval
(2011)
Ganguly, Debasis; Leveling, Johannes; Li, Wei ; 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
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Enhanced information retrieval using domain-specific recommender models
(2011)
Li, Wei ; Ganguly, Debasis ; Jones, Gareth J.F.
Enhanced information retrieval using domain-specific recommender models
(2011)
Li, Wei ; 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
Mark
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/
Marked
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
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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/
Marked
Mark
Adaptive systems for multimedia information retrieval
(2004)
Jones, Gareth J.F.
Adaptive systems for multimedia information retrieval
(2004)
Jones, Gareth J.F.
Abstract:
Multimedia information retrieval poses both technical and design challenges beyond those of established text retrieval. These issues extend both to the entry of search requests, system interation and the browsing of retrieved content, and the methodologies and techniques for content indexing. Prototype multimedia information retrieval systems are currently being developed which enable the exploration of both the user interaction and technical issues. The suitability of the solutions developed within these systems is currently being explored in the annual TRECVID evaluation workshops which enable researchers to test their indexing and retrieval algorithms and complete systems on common tasks and datasets.
http://doras.dcu.ie/16264/
Marked
Mark
Query performance prediction for information retrieval based on covering topic score
(2008)
Lang, Hao ; Wang, Bin ; Jones, Gareth J.F.; Li, Jin-Tao ; Ding, Fan ; Liu, Yi-Xuan
Query performance prediction for information retrieval based on covering topic score
(2008)
Lang, Hao ; Wang, Bin ; Jones, Gareth J.F.; Li, Jin-Tao ; Ding, Fan ; Liu, Yi-Xuan
Abstract:
We present a statistical method called Covering Topic Score (CTS) to predict query performance for information retrieval. Estimation is based on how well the topic of a user's query is covered by documents retrieved from a certain retrieval system. Our approach is conceptually simple and intuitive, and can be easily extended to incorporate features beyond bag-of-words such as phrases and proximity of terms. Experiments demonstrate that CTS significantly correlates with query performance in a variety of TREC test collections, and in particular CTS gains more prediction power benefiting from features of phrases and proximity of terms. We compare CTS with previous state-of-the-art methods for query performance prediction including clarity score and robustness score. Our experimental results show that CTS consistently performs better than, or at least as well as, these other methods. In addition to its high effectiveness, CTS is also shown to have very low computational complexity,...
http://doras.dcu.ie/16507/
Marked
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Integrating methods from IR and QA for geographic information retrieval
(2009)
Leveling, Johannes; Hartrumpf, Sven
Integrating methods from IR and QA for geographic information retrieval
(2009)
Leveling, Johannes; Hartrumpf, Sven
Abstract:
This paper describes the participation of GIRSA at Geo- CLEF 2008, the geographic information retrieval task at CLEF. GIRSA combines information retrieval (IR) on geographically annotated data and question answering (QA) employing query decomposition. For the monolingual German experiments, several parameter settings were varied: using a single index or separate indexes for content and geographic annotation, using complex term weighting, adding location names from the topic narrative, and merging results from IR and QA, which yields the highest mean average precision (0.2608 MAP). For bilingual experiments, English and Portuguese topics were translated via the web services Applied Language Solutions, Google Translate, and Promt Online Translator. For both source languages, Google Translate seems to return the best translations. For English (Portuguese) topics, 60.2% (80.0%) of the maximum MAP for monolingual German experiments, or 0.1571 MAP (0.2085 MAP), is achieved. As a post-ocia...
http://doras.dcu.ie/16444/
Marked
Mark
Information access for personal media archives
(2010)
Doherty, Aiden R.; Gurrin, Cathal; Jones, Gareth J.F.; Smeaton, Alan F.
Information access for personal media archives
(2010)
Doherty, Aiden R.; Gurrin, Cathal; Jones, Gareth J.F.; Smeaton, Alan F.
Abstract:
It is now possible to archive much of our life experiences in digital form using a variety of sources, e.g. blogs written, tweets made, photographs taken, etc. Information can be captured from a myriad of personal information devices. In this workshop, researchers from diverse disciplines discussed how we can advance towards the goal of effective capture, retrieval and exploration of e-memories. Proposed solutions included advanced textile sensors to capture new data, P2P methods to store this data, and personal reflection applications to review this data. Much discussion centered around search and navigation strategies, interactive interfaces, and the cognitive basis in using digitally captured information as memorabilia.
http://doras.dcu.ie/15421/
Marked
Mark
A proposal for the evaluation of adaptive information retrieval systems using simulated interaction
(2010)
Mulwa, Catherine; Li, Wei; Lawless, Seamus; Jones, Gareth J.F.
A proposal for the evaluation of adaptive information retrieval systems using simulated interaction
(2010)
Mulwa, Catherine; Li, Wei; Lawless, Seamus; Jones, Gareth J.F.
Abstract:
The Centre for Next Generation Localisation (CNGL) is involved in building interactive adaptive systems which combine Information Retrieval (IR), Adaptive Hypermedia (AH) and adaptive web techniques and technologies. The complex functionality of these systems coupled with the variety of potential users means that the experiments necessary to evaluate such systems are difficult to plan, implement and execute. This evaluation requires both component-level scientific evaluation and user-based evaluation. Automated replication of experiments and simulation of user interaction would be hugely beneficial in the evaluation of adaptive information retrieval systems (AIRS). This paper proposes a methodology for the evaluation of AIRS which leverages simulated interaction. The hybrid approach detailed combines: (i) user-centred methods for simulating interaction and personalisation; (ii) evaluation metrics that combine Human Computer Interaction (HCI), AH and IR techniques; and (iii) the use ...
http://doras.dcu.ie/15837/
Marked
Mark
TRECVID: benchmarking the effectiveness of information retrieval tasks on digital video
(2003)
Smeaton, Alan F.; Over, Paul
TRECVID: benchmarking the effectiveness of information retrieval tasks on digital video
(2003)
Smeaton, Alan F.; Over, Paul
Abstract:
Many research groups worldwide are now investigating techniques which can support information retrieval on archives of digital video and as groups move on to implement these techniques they inevitably try to evaluate the performance of their techniques in practical situations. The difficulty with doing this is that there is no test collection or any environment in which the effectiveness of video IR or video IR sub-tasks, can be evaluated and compared. The annual series of TREC exercises has, for over a decade, been benchmarking the effectiveness of systems in carrying out various information retrieval tasks on text and audio and has contributed to a huge improvement in many of these. Two years ago, a track was introduced which covers shot boundary detection, feature extraction and searching through archives of digital video. In this paper we present a summary of the activities in the TREC Video track in 2002 where 17 teams from across the world took part.
http://doras.dcu.ie/278/
Marked
Mark
Video information retrieval using objects and ostensive relevance feedback
(2004)
Browne, Paul
Video information retrieval using objects and ostensive relevance feedback
(2004)
Browne, Paul
Abstract:
In this paper, we present a brief overview of current approaches to video information retrieval (IR) and we highlight its limitations and drawbacks in terms of satisfying user needs. We then describe a method of incorporating object-based relevance feedback into video IR which we believe opens up new possibilities for helping users find information in video archives. Following this we describe our own work on shot retrieval from video archives which uses object detection, object-based relevance feedback and a variation of relevance feedback called ostensive RF which is particularly appropriate for this type of retrieval.
http://doras.dcu.ie/367/
Marked
Mark
Information retrieval challenges of maintaining a context-aware human digital memory
(2008)
Gurrin, Cathal
Information retrieval challenges of maintaining a context-aware human digital memory
(2008)
Gurrin, Cathal
Abstract:
The volume of personal digital data captured from today's content creation devices, such as digital cameras, digital video recorders and sensecams pose many challenges for organising and retrieving content for users. By utilising content and contextual analysis along with an understanding of the usage scenarios involved, it is possible to develop effective information retrieval technologies for these personal archives. In this talk I will discuss how we, at the Centre for Digital Video Processing, Dublin City University, have employed both content and contextual analysis to automatically organise human digital memory (sensecam) collections and I will focus specifically on how we have employed techniques from photo and video retrieval in the novel domain of human digital memories.
http://doras.dcu.ie/662/
Marked
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Utilizing sub-topical structure of documents for information retrieval.
(2011)
Ganguly , Debasis ; Leveling, Johannes; Jones, Gareth J.F.
Utilizing sub-topical structure of documents for information retrieval.
(2011)
Ganguly , Debasis ; Leveling, Johannes; Jones, Gareth J.F.
Abstract:
Text segmentation in natural language processing typically refers to the process of decomposing a document into constituent subtopics. Our work centers on the application of text segmentation techniques within information retrieval (IR) tasks. For example, for scoring a document by combining the retrieval scores of its constituent segments, exploiting the proximity of query terms in documents for ad-hoc search, and for question answering (QA), where retrieved passages from multiple documents are aggregated and presented as a single document to a searcher. Feedback in ad hoc IR task is shown to benefit from the use of extracted sentences instead of terms from the pseudo relevant documents for query expansion. Retrieval effectiveness for patent prior art search task is enhanced by applying text segmentation to the patent queries. Another aspect of our work involves augmenting text segmentation techniques to produce segments which are more readable with less unresolved anaphora. This is...
http://doras.dcu.ie/16518/
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Synchronous collaborative information retrieval: techniques and evaluation
(2009)
Foley, Colum; Smeaton, Alan F.
Synchronous collaborative information retrieval: techniques and evaluation
(2009)
Foley, Colum; Smeaton, Alan F.
Abstract:
Synchronous Collaborative Information Retrieval refers to systems that support multiple users searching together at the same time in order to satisfy a shared information need. To date most SCIR systems have focussed on providing various awareness tools in order to enable collaborating users to coordinate the search task. However, requiring users to both search and coordinate the group activity may prove too demanding. On the other hand without effective coordination policies the group search may not be effective. In this paper we propose and evaluate novel system-mediated techniques for coordinating a group search. These techniques allow for an effective division of labour across the group whereby each group member can explore a subset of the search space.We also propose and evaluate techniques to support automated sharing of knowledge across searchers in SCIR, through novel collaborative and complementary relevance feedback techniques. In order to evaluate these techniques, we pro...
http://doras.dcu.ie/4503/
Marked
Mark
Investigating Biometric Response for Information Retrieval Applications
(2006)
Mooney , Colum ; Scully, Micheal; Jones, Gareth J.F.; Smeaton, Alan F.
Investigating Biometric Response for Information Retrieval Applications
(2006)
Mooney , Colum ; Scully, Micheal; Jones, Gareth J.F.; Smeaton, Alan F.
Abstract:
Current information retrieval systems make no measurement of the user’s response to the searching process or the information itself. Existing psychological studies show that subjects exhibit measurable physiological responses when carrying out certain tasks, e.g. when viewing images, which generally result in heightened emotional states. We find that users exhibit measurable biometric behaviour in the form of galvanic skin response when watching movies, and engaging in interactive tasks. We examine how this data might be exploited in the indexing of data for search and within the search process itself.
http://doras.dcu.ie/16284/
Marked
Mark
Advanced content-based semantic scene analysis and information retrieval: the SCHEMA project
(2003)
Izquierdo, Ebroul; Casas, Josep R.; Leonardi, R.; Migliorati, P.; O'Connor, Noel E...
Advanced content-based semantic scene analysis and information retrieval: the SCHEMA project
(2003)
Izquierdo, Ebroul; Casas, Josep R.; Leonardi, R.; Migliorati, P.; O'Connor, Noel E.; Kompatsiaris, I.; Strintzis, M.G.
Abstract:
The aim of the SCHEMA Network of Excellence is to bring together a critical mass of universities, research centers, industrial partners and end users, in order to design a reference system for content-based semantic scene analysis, interpretation and understanding. Relevant research areas include: content-based multimedia analysis and automatic annotation of semantic multimedia content, combined textual and multimedia information retrieval, semantic -web, MPEG-7 and MPEG-21 standards, user interfaces and human factors. In this paper, recent advances in content-based analysis, indexing and retrieval of digital media within the SCHEMA Network are presented. These advances will be integrated in the SCHEMA module-based, expandable reference system.
http://doras.dcu.ie/420/
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