Personalised video retrieval: application of implicit feedback and semantic user profiles

A challenging problem in the user profiling domain is to create profiles of users of retrieval systems. This problem even exacerbates in the multimedia domain. Due to the Semantic Gap, the difference between lowlevel data representation of videos and the higher concepts users associate with videos, it is not trivial to understand the content of multimedia documents and to find other documents that the users might be interested in. A promising approach to ease this problem is to set multimedia documents into their semantic contexts. The semantic context can lead to a better understanding of the personal interests. Knowing the context of a video is useful for recommending users videos that match their information need. By exploiting these contexts, videos can also be linked to other, contextually related videos. From a user profiling point of view, these links can be of high value to recommend semantically related videos, hence creating a semantic-based user profile. This thesis introduces a semantic user profiling approach for news video retrieval, which exploits a generic ontology to put news stories into its context.

[1]  Timo Ojala,et al.  TRECVID 2005 Experiments at Media Team Oulu , 2005, TRECVID.

[2]  Thomas S. Huang,et al.  Relevance feedback: a power tool for interactive content-based image retrieval , 1998, IEEE Trans. Circuits Syst. Video Technol..

[3]  Desmond Elliott,et al.  An architecture for life-long user modelling , 2009 .

[4]  B. B. Meshram,et al.  Content based video retrieval , 2012, ArXiv.

[5]  Thomas R. Gruber,et al.  Toward principles for the design of ontologies used for knowledge sharing? , 1995, Int. J. Hum. Comput. Stud..

[6]  Nicholas J. Belkin,et al.  Personalizing information retrieval for multi-session tasks: the roles of task stage and task type , 2010, SIGIR '10.

[7]  Martin Halvey,et al.  Collaborative Search Trails for Video Search , 2009, ArXiv.

[8]  Desmond Elliott,et al.  A proactive personalised retrieval system , 2009, CIKM.

[9]  Linda C. Smith,et al.  A framework for information quality assessment , 2007 .

[10]  Marti A. Hearst.  Search User Interfaces , 2009 .

[11]  Martin Halvey,et al.  Community based feedback techniques to improve video search , 2008, Signal Image Video Process..

[12]  Mounia Lalmas,et al.  A survey on the use of relevance feedback for information access systems , 2003, The Knowledge Engineering Review.

[13]  Alexander K. Hartmann.  A Practical Guide To Computer Simulation , 2009 .

[14]  Shih-Fu Chang,et al.  Story boundary detection in large broadcast news video archives: techniques, experience and trends , 2004, MULTIMEDIA '04.

[15]  T.S. Huang,et al.  A relevance feedback architecture for content-based multimedia information retrieval systems , 1997, 1997 Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries.

[16]  Apostol Natsev,et al.  Exploring Automatic Query Refinement for Text-Based Video Retrieval , 2006, 2006 IEEE International Conference on Multimedia and Expo.

[17]  Thomas S. Huang,et al.  Relevance feedback techniques in interactive content-based image retrieval , 1997, Electronic Imaging.

[18]  Shih-Fu Chang,et al.  Combining text and audio-visual features in video indexing , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[19]  John R. Smith,et al.  IBM Research TRECVID-2009 Video Retrieval System , 2009, TRECVID.

[20]  Jaana Kekäläinen,et al.  ExpansionTool: Concept-Based Query Expansion and Construction , 2001, Information Retrieval.

[21]  Tao Mei,et al.  Online video recommendation based on multimodal fusion and relevance feedback , 2007, CIVR '07.

[22]  Leif Azzopardi,et al.  Evaluating User Studies in Information Access , 2005, CoLIS.

[23]  Joemon M. Jose,et al.  Evaluating A Personal Information Assistant , 2007, RIAO.

[24]  Shingo Uchihashi,et al.  Video Manga: generating semantically meaningful video summaries , 1999, MULTIMEDIA '99.

[25]  Yongdong Zhang,et al.  Adaptive multiple feedback strategies for interactive video search , 2008, CIVR '08.

[26]  Thierry Urruty,et al.  Information Organization Issues in Multimedia Retrieval Using Low-Level Features , 2011, Multimedia Semantics.

[27]  Stefan M. Rüger,et al.  NewsRoom: an information-seeking support system for news videos , 2010, MIR '10.

[28]  Hosung Park,et al.  What is Twitter, a social network or a news media? , 2010, WWW '10.

[29]  Alexander G. Hauptmann.  Lessons for the Future from a Decade of Informedia Video Analysis Research , 2005, CIVR.

[30]  Pattie Maes,et al.  Social information filtering: algorithms for automating “word of mouth” , 1995, CHI '95.

[31]  Frank Hopfgartner,et al.  User Centred Evaluation of A Recommendation Based Image Browsing System , 2009, IICAI.

[32]  Marcel Worring,et al.  Concept-Based Video Retrieval , 2009, Found. Trends Inf. Retr..

[33]  T. S. Huang,et al.  Exploring the nature and variants of relevance feedback , 2001, Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001).

[34]  H. Simon,et al.  Administrative Behavior: A Study of Decision-Making Processes in Administrative Organization. , 1959 .

[35]  Young-Woo Seo,et al.  Learning user's preferences by analyzing Web-browsing behaviors , 2000, AGENTS '00.

[36]  Markus Krötzsch,et al.  Semantic Wikipedia , 2006, WikiSym '06.

[37]  Xuehua Shen,et al.  Context-sensitive information retrieval using implicit feedback , 2005, SIGIR '05.

[38]  João Magalhães,et al.  Video Retrieval Using Search and Browsing , 2004, TRECVID.

[39]  Anita Komlodi,et al.  Visual video browsing interfaces using key frames , 1998, CHI Conference Summary.

[40]  Amanda Spink,et al.  Real life, real users, and real needs: a study and analysis of user queries on the web , 2000, Inf. Process. Manag..

[41]  S. Floyd,et al.  Adaptive Web , 1997 .

[42]  Mark Sanderson,et al.  Forming test collections with no system pooling , 2004, SIGIR '04.

[43]  Paul Over,et al.  Evaluation campaigns and TRECVid , 2006, MIR '06.

[44]  Tom Peters,et al.  The history and development of transaction log analysis , 1993 .

[45]  Stephen E. Robertson,et al.  GatfordCentre for Interactive Systems ResearchDepartment of Information , 1996 .

[46]  Boon-Lock Yeo,et al.  Video visualization for compact presentation and fast browsing of pictorial content , 1997, IEEE Trans. Circuits Syst. Video Technol..

[47]  Paul Over,et al.  Boundary Error Analysis and Categorization in the TRECVID News Story Segmentation Task , 2005, CIVR.

[48]  Bernard J. Jansen,et al.  Search log analysis: What it is, what's been done, how to do it , 2006 .

[49]  Frank Hopfgartner,et al.  Capturing Multiple Interests in News Video Retrieval by Incorporating the Ostensive Model , 2008, PersDB.

[50]  Ryen W. White,et al.  NewsFlash: Adaptive TV News Delivery on the Web , 2003, Adaptive Multimedia Retrieval.

[51]  Paul P. Maglio,et al.  SUITOR: an attentive information system , 2000, IUI '00.

[52]  Frank Hopfgartner,et al.  Exploiting log files in video retrieval , 2008, JCDL '08.

[53]  John Murphy,et al.  Using WordNet as a Knowledge Base for Measuring Semantic Similarity between Words , 1994 .

[54]  Marti A. Hearst,et al.  The state of the art in automating usability evaluation of user interfaces , 2001, CSUR.

[55]  Jana Urban,et al.  An adaptive approach for image organisation and retrieval , 2003 .

[56]  Jaime Teevan,et al.  Implicit feedback for inferring user preference: a bibliography , 2003, SIGF.

[57]  Alessandro Micarelli,et al.  User Profiles for Personalized Information Access , 2007, The Adaptive Web.

[58]  Barry Smyth,et al.  Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine , 2004, User Modeling and User-Adapted Interaction.

[59]  Micheline Hancock-Beaulieu,et al.  An Evaluation of Automatic Query Expansion in an Online Library Catalogue , 1992, J. Documentation.

[60]  Stephen E. Robertson,et al.  A probabilistic model of information retrieval: development and comparative experiments - Part 1 , 2000, Inf. Process. Manag..

[61]  Gerhard Weikum,et al.  WWW 2007 / Track: Semantic Web Session: Ontologies ABSTRACT YAGO: A Core of Semantic Knowledge , 2022 .

[62]  Pattie Maes,et al.  Amalthaea: An Evolving Multi-Agent Information Filtering and Discovery System for the WWW , 2004, Autonomous Agents and Multi-Agent Systems.

[63]  Ortega Soto,et al.  Wikipedia: A quantitative analysis , 2012 .

[64]  Kalervo Järvelin,et al.  Evaluating the effectiveness of relevance feedback based on a user simulation model: effects of a user scenario on cumulated gain value , 2008, Information Retrieval.

[65]  Michael G. Christel.  Examining user interactions with video retrieval systems , 2007, Electronic Imaging.

[66]  A. Jameson.  Adaptive interfaces and agents , 2002 .

[67]  Marcel Worring,et al.  Interactive access to large image collections using similarity-based visualization , 2008, J. Vis. Lang. Comput..

[68]  Gabriella Kazai,et al.  A Metadata Model Supporting Scalable Interactive TV Services , 2005, 11th International Multimedia Modelling Conference.

[69]  Michael Heine,et al.  Finding Out About: A Cognitive Perspective on Search Engine Technology and the WWW , 2002, J. Documentation.

[70]  JUSTIN ZOBEL,et al.  Inverted files for text search engines , 2006, CSUR.

[71]  Alan F. Smeaton,et al.  User evaluation of Físchlár-News , 2006, ACM Trans. Inf. Syst..

[72]  Emre Velipasaoglu,et al.  Web search engine metrics: (direct metrics to measure user satisfaction) , 2010, WWW '10.

[73]  L. Rips,et al.  The Psychology of Survey Response , 2000 .

[74]  Marcel Worring,et al.  Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[75]  Michael G. Christel,et al.  Addressing the challenge of visual information access from digital image and video libraries , 2005, Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '05).

[76]  Ryen W. White,et al.  Evaluating advanced search interfaces using established information-seeking models , 2009, J. Assoc. Inf. Sci. Technol..

[77]  Bernard P. Zeigler,et al.  Theory of Modelling and Simulation , 1979, IEEE Transactions on Systems, Man and Cybernetics.

[78]  Thierry Urruty,et al.  Simulated evaluation of faceted browsing based on feature selection , 2010, Multimedia Tools and Applications.

[79]  John R. Smith,et al.  Large-scale concept ontology for multimedia , 2006, IEEE MultiMedia.

[80]  Kalervo Järvelin.  Interactive relevance feedback with graded relevance and sentence extraction: simulated user experiments , 2009, CIKM.

[81]  J. Neal Richter,et al.  Adaptive web sites: user studies and simulation , 2006, WWW '06.

[82]  Steffen Staab,et al.  F--a model of events based on the foundational ontology dolce+DnS ultralight , 2009, K-CAP '09.

[83]  Nicu Sebe,et al.  Personalized multimedia retrieval: the new trend? , 2007, MIR '07.

[84]  Alan Hanjalic,et al.  Shot-boundary detection: unraveled and resolved? , 2002, IEEE Trans. Circuits Syst. Video Technol..

[85]  Frank Hopfgartner,et al.  Semantic User Modelling for Personal News Video Retrieval , 2010, MMM.

[86]  Peter Ingwersen,et al.  The Turn - Integration of Information Seeking and Retrieval in Context , 2005, The Kluwer International Series on Information Retrieval.

[87]  Tat-Seng Chua,et al.  The Segmentation and Classification of Story Boundaries in News Video , 2002, VDB.

[88]  Chapter Xvi,et al.  Semantic Multimedia Information Analysis for Retrieval Applications , 2007 .

[89]  Ben Shneiderman,et al.  Strategies for evaluating information visualization tools: multi-dimensional in-depth long-term case studies , 2006, BELIV '06.

[90]  Ian Soboroff,et al.  Overview of the TREC 2004 Novelty Track , 2004, TREC.

[91]  Paul Over,et al.  Video shot boundary detection: Seven years of TRECVid activity , 2010, Comput. Vis. Image Underst..

[92]  James A. Hendler,et al.  A new form of Web content that is meaningful to computers will unleash a revolution of new possibili , 2002 .

[93]  Robert Tansley.  The multimedia thesaurus : adding a semantic layer to multimedia information , 2000 .

[94]  C. V. Jawahar,et al.  Analysis of Relevance Feedback in Content Based Image Retrieval , 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

[95]  W. Bruce Croft,et al.  Using Probabilistic Models of Document Retrieval without Relevance Information , 1979, J. Documentation.

[96]  Ed H. Chi,et al.  Using information scent to model user information needs and actions and the Web , 2001, CHI.

[97]  Werner Bailer,et al.  Video Content Browsing Based on Iterative Feature Clustering for Rushes Exploitation , 2006, TRECVID.

[98]  Iain Campbell,et al.  The ostensive model of developing information needs , 2000 .

[99]  Stephen E. Robertson,et al.  On the Evaluation of IR Systems , 1992, Inf. Process. Manag..

[100]  Marcel Worring,et al.  Multimodal Video Indexing : A Review of the State-ofthe-art , 2001 .

[101]  Nicholas J. Belkin,et al.  Some(what) grand challenges for information retrieval , 2008, SIGF.

[102]  David C. Blair,et al.  Some thoughts on the reported results of TREC , 2002, Inf. Process. Manag..

[103]  Mubarak Shah,et al.  Automatic Query Expansion for News Video Retrieval , 2006, 2006 IEEE International Conference on Multimedia and Expo.

[104]  Iain Campbell,et al.  Interactive Evaluation of the Ostensive Model Using a New Test Collection of Images with Multiple Relevance Assessments , 2000, Information Retrieval.

[105]  Iain Campbell,et al.  Supporting Information Needs by Ostensive Definition in an Adaptive Information Space , 1995, MIRO.

[106]  M. de Rijke,et al.  UvA-DARE ( Digital Academic Repository ) The MediaMill TRECVID 2008 semantic video search engine , 2008 .

[107]  Fritz Drasgow,et al.  A Meta-Analytic Study of Social Desirability Distortion in Computer- Administered Questionnaires, Traditional Questionnaires, and Interviews , 1999 .

[108]  Ryen W. White.  Implicit feedback for interactive information retrieval , 2005, SIGF.

[109]  Michael J. Pazzani,et al.  Syskill & Webert: Identifying Interesting Web Sites , 1996, AAAI/IAAI, Vol. 1.

[110]  Joemon M. Jose,et al.  A System for Adaptive Information Retrieval , 2006, AH.

[111]  Frank Hopfgartner,et al.  Evaluating the implicit feedback models for adaptive video retrieval , 2007, MIR '07.

[112]  Pattie Maes,et al.  Footprints: history-rich tools for information foraging , 1999, CHI '99.

[113]  Rong Yan,et al.  Extreme video retrieval: joint maximization of human and computer performance , 2006, MM '06.

[114]  Chris Buckley,et al.  Improving automatic query expansion , 1998, SIGIR '98.

[115]  Enrico Motta,et al.  Using TREC for cross-comparison between classic IR and ontology-based search models at a Web scale , 2009 .

[116]  Michael G. Christel.  Establishing the utility of non-text search for news video retrieval with real world users , 2007, ACM Multimedia.

[117]  Stephen E. Robertson,et al.  Laboratory experiments with Okapi: participation in the TREC programme , 1997, J. Documentation.

[118]  Philip J. Hayes,et al.  A News Story Categorization System , 1988, ANLP.

[119]  Joemon M. Jose,et al.  A comparative study of online news retrieval and presentation strategies , 2004, IEEE Sixth International Symposium on Multimedia Software Engineering.

[120]  Dora Galvez-Cruz,et al.  An Environment for Protecting the Privacy of E-Shoppers , 2009 .

[121]  Thorsten Joachims,et al.  Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.

[122]  Joemon M. Jose,et al.  An Ostensive Browsing and Searching on the Web , 2007, CIR.

[123]  Stefan Parkvall,et al.  Technical solutions for the 3G long-term evolution , 2006, IEEE Communications Magazine.

[124]  Ryen W. White,et al.  A task-oriented study on the influencing effects of query-biased summarisation in web searching , 2003, Inf. Process. Manag..

[125]  Diane Kelly,et al.  Questionnaire mode effects in interactive information retrieval experiments , 2008, Inf. Process. Manag..

[126]  Eytan Adar,et al.  User 4XXXXX9: Anonymizing Query Logs , 2007 .

[127]  Bamshad Mobasher,et al.  Web search personalization with ontological user profiles , 2007, CIKM '07.

[128]  Alan F. Smeaton,et al.  News story segmentation in the Fischlar video indexing system , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[129]  Rong Yan,et al.  A review of text and image retrieval approaches for broadcast news video , 2007, Information Retrieval.

[130]  B. S. Manjunath,et al.  Introduction to MPEG-7: Multimedia Content Description Interface , 2002 .

[131]  Russell Beale,et al.  Analysis of user behaviour as time series , 1993 .

[132]  Michael J. Pazzani,et al.  Adaptive interfaces for ubiquitous web access , 2002, CACM.

[133]  Frank Hopfgartner,et al.  Toward and adaptive video retrieval system , 2009 .

[134]  John Watkinson.  The MPEG handbook : MPEG-1, MPEG-2, MPEG-4 , 2001 .

[135]  Stephen W. Smoliar,et al.  An integrated system for content-based video retrieval and browsing , 1997, Pattern Recognit..

[136]  Mark Claypool,et al.  Implicit interest indicators , 2001, IUI '01.

[137]  Jaideep Srivastava,et al.  Automatic personalization based on Web usage mining , 2000, CACM.

[138]  Ramesh C. Jain,et al.  EventWeb: Developing a Human-Centered Computing System , 2008, Computer.

[139]  Chih-Wei Huang.  Automatic Closed Caption Alignment Based on Speech Recognition Transcripts , 2003 .

[140]  Christiane Fellbaum,et al.  Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.

[141]  Wei-Ying Ma,et al.  Multimedia information retrieval: what is it, and why isn't anyone using it? , 2005, MIR '05.

[142]  Barry Smyth,et al.  Collecting community wisdom: integrating social search & social navigation , 2007, IUI '07.

[143]  Richard L. Tweedie,et al.  Markov Chains and Stochastic Stability , 1993, Communications and Control Engineering Series.

[144]  Ronald E. Rice,et al.  The use of computer-monitored data in information science and communication research , 1983, J. Am. Soc. Inf. Sci..

[145]  Timo Ojala,et al.  Cluster-temporal browsing of large news video databases , 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

[146]  R. Armstrong.  The Long Tail: Why the Future of Business Is Selling Less of More , 2008 .

[147]  Desmond Elliott,et al.  Aspect-based video browsing — A user study , 2009, 2009 IEEE International Conference on Multimedia and Expo.

[148]  M. Carl Drott.  Using Web server logs to improve site design , 1998, SIGDOC '98.

[149]  Zi Huang,et al.  Dissimilarity measures for content-based image retrieval , 2008, 2008 IEEE International Conference on Multimedia and Expo.

[150]  Richard K. Belew,et al.  Adaptive information retrieval: using a connectionist representation to retrieve and learn about documents , 1989, SIGIR '89.

[151]  David B. Leake,et al.  Real time user context modeling for information retrieval agents , 2001, CIKM '01.

[152]  Frank Hopfgartner,et al.  Effects of Usage-Based Feedback on Video Retrieval: A Simulation-Based Study , 2011, TOIS.

[153]  Ellen M. Voorhees,et al.  The Philosophy of Information Retrieval Evaluation , 2001, CLEF.

[154]  Frank Hopfgartner,et al.  Semantic user profiling techniques for personalised multimedia recommendation , 2010, Multimedia Systems.

[155]  Stephen E. Robertson,et al.  Microsoft Cambridge at TREC 13: Web and Hard Tracks , 2004, TREC.

[156]  James Allan,et al.  Find-similar: similarity browsing as a search tool , 2006, SIGIR.

[157]  G. W. Furnas,et al.  Generalized fisheye views , 1986, CHI '86.

[158]  Mark Sanderson.  Test collections for all , 2007, NTCIR.

[159]  W. Bruce Croft,et al.  Providing Government Information on the Internet: Experiences with THOMAS , 1995, DL.

[160]  Martial Hebert,et al.  Discriminative random fields: a discriminative framework for contextual interaction in classification , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[161]  Thomas S. Huang,et al.  Image retrieval with relevance feedback: from heuristic weight adjustment to optimal learning methods , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[162]  Markus Krötzsch,et al.  Semantic MediaWiki , 2006, International Semantic Web Conference.

[163]  Stefan M. Rüger,et al.  Using Second Order Statistics to Enhance Automated Image Annotation , 2009, ECIR.

[164]  Craig MacDonald,et al.  Terrier Information Retrieval Platform , 2005, ECIR.

[165]  Pia Borlund,et al.  The concept of relevance in IR , 2003, J. Assoc. Inf. Sci. Technol..

[166]  Cyril W. Cleverdon.  The effect of variations in relevance assessments in comparative experimental tests of index languages , 1970 .

[167]  Amanda Spink,et al.  Time-Based Analysis of Search Data Logs , 2001, International Conference on Internet Computing.

[168]  Nikolaos D. Doulamis,et al.  Performance evaluation of Euclidean/correlation-based relevance feedback algorithms in content-based image retrieval systems , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[169]  Cyril W. Cleverdon,et al.  Factors determining the performance of indexing systems , 1966 .

[170]  Frank Hopfgartner,et al.  On User Modelling for Personalised News Video Recommendation , 2009, UMAP.

[171]  Mary Czerwinski,et al.  Subjective Duration Assessment: An Implicit Probe for Software Usability , 2001 .

[172]  J. J. Rocchio,et al.  Relevance feedback in information retrieval , 1971 .

[173]  H. Day,et al.  Looking Time as a Function of Stimulus Variables and Individual Differences , 1966 .

[174]  Kai Song,et al.  Diversifying the image retrieval results , 2006, MM '06.

[175]  Fabio Pianesi,et al.  Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH , 2009 .

[176]  Ryen W. White,et al.  Studying the use of popular destinations to enhance web search interaction , 2007, SIGIR.

[177]  Stuart Weibel,et al.  The Dublin Core: A Simple Content Description Model for Electronic Resources , 2005 .

[178]  Kriengkrai Porkaew,et al.  Query refinement for multimedia similarity retrieval in MARS , 1999, MULTIMEDIA '99.

[179]  Francisco Tanudjaja,et al.  Persona: a contextualized and personalized web search , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[180]  Frank Hopfgartner,et al.  Simulated Testing of an Adaptive Multimedia Information Retrieval System , 2007, 2007 International Workshop on Content-Based Multimedia Indexing.

[181]  Ian Ruthven,et al.  Re-examining the potential effectiveness of interactive query expansion , 2003, SIGIR.

[182]  C. A. Cuadra,et al.  OPENING THE BLACK BOX OF ‘RELEVANCE’ , 1967 .

[183]  Iadh Ounis,et al.  Examining the Content Load of Part of Speech Blocks for Information Retrieval , 2006, ACL 2006.

[184]  Raphaël Troncy,et al.  LODE: Linking Open Descriptions of Events , 2009, ASWC.

[185]  Rainer Lienhart,et al.  VIDEO OCR: A SURVEY AND PRACTITIONER'S GUIDE , 2003 .

[186]  Gary Marchionini,et al.  Key frame preview techniques for video browsing , 1998, DL '98.

[187]  C. J. van Rijsbergen,et al.  Report on the need for and provision of an 'ideal' information retrieval test collection , 1975 .

[188]  Remi Depommier,et al.  Content-based browsing of video sequences , 1994, MULTIMEDIA '94.

[189]  Michael G. Christel.  Supporting video library exploratory search: when storyboards are not enough , 2008, CIVR '08.

[190]  Michiel Hildebrand,et al.  An analysis of search-based user interaction on the semantic web , 2007 .

[191]  James Allan,et al.  Approaches to passage retrieval in full text information systems , 1993, SIGIR.

[192]  Rong Yan,et al.  Multimedia Search with Pseudo-relevance Feedback , 2003, CIVR.

[193]  Joemon M. Jose,et al.  Revisiting IR Techniques for Collaborative Search Strategies , 2009, ECIR.

[194]  John Riedl,et al.  GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.

[195]  Alberto Del Bimbo,et al.  Multimedia enriched ontologies for video digital libraries , 2007, Int. J. Parallel Emergent Distributed Syst..

[196]  Sally Jo Cunningham,et al.  Usage analysis of a digital library , 1998, DL '98.

[197]  Susan T. Dumais,et al.  Potential for personalization , 2010, TCHI.

[198]  Amanda Spink,et al.  Searching for multimedia: analysis of audio, video and image Web queries , 2000, World Wide Web.

[199]  Joemon M. Jose,et al.  Bayesian Mixture Hierarchies for Automatic Image Annotation , 2009, ECIR.

[200]  Sanjeev Khudanpur,et al.  Imperial College and Johns Hopkins University at TRECVID , 2006, TRECVID.

[201]  Michael I. Jordan,et al.  Modeling annotated data , 2003, SIGIR.

[202]  Martin Halvey,et al.  ViGOR: a grouping oriented interface for search and retrieval in video libraries , 2009, JCDL '09.

[203]  Dragutin Petkovic,et al.  Key to effective video retrieval: effective cataloging and browsing , 1998, MULTIMEDIA '98.

[204]  Steffen Staab,et al.  SemaPlorer - Interactive semantic exploration of data and media based on a federated cloud infrastructure , 2009, J. Web Semant..

[205]  Tao Mei,et al.  Correlative multi-label video annotation , 2007, ACM Multimedia.

[206]  Roelof van Zwol,et al.  Diversifying image search with user generated content , 2008, MIR '08.

[207]  James Allan,et al.  Text classification and named entities for new event detection , 2004, SIGIR '04.

[208]  Frank Hopfgartner,et al.  Video browsing interfaces and applications: a review , 2010 .

[209]  Stefanos D. Kollias,et al.  Interactive content-based retrieval in video databases using fuzzy classification and relevance feedback , 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

[210]  Peter L. Stanchev,et al.  Multimedia Retrieval , 2007, Data-Centric Systems and Applications.

[211]  Robert Villa,et al.  FacetBrowser: a user interface for complex search tasks , 2008, ACM Multimedia.

[212]  Sang Uk Lee,et al.  Scalable hierarchical video summary and search , 2001, IS&T/SPIE Electronic Imaging.

[213]  Inderjeet Mani,et al.  Machine Learning of User Profiles: Representational Issues , 1996, AAAI/IAAI, Vol. 1.

[214]  Frank Hopfgartner,et al.  TV News Story Segmentation Based on Semantic Coherence and Content Similarity , 2010, MMM.

[215]  Gary Marchionini,et al.  Video browsing interfaces for the open video project , 2002, CHI Extended Abstracts.

[216]  Tobias Bürger,et al.  Smart content factory: assisting search for digital objects by generic linking concepts to multimedia content , 2005, HYPERTEXT '05.

[217]  Joemon M. Jose,et al.  An adaptive technique for content-based image retrieval , 2006, Multimedia Tools and Applications.

[218]  David M. Nichols,et al.  Implicit Rating and Filtering , 1998 .

[219]  Edward A. Fox,et al.  Research Contributions , 2014 .

[220]  Martin Halvey,et al.  Diversity, Assortment, Dissimilarity, Variety: A Study of Diversity Measures Using Low Level Features for Video Retrieval , 2009, ECIR.

[221]  Tomonari Kamba,et al.  Learning Personal Preferences on Online Newspaper Articles from User Behaviors , 1997, Comput. Networks.

[222]  Pia Borlund,et al.  The IIR evaluation model: a framework for evaluation of interactive information retrieval systems , 2003, Inf. Res..

[223]  Robert Villa,et al.  A study of awareness in multimedia search , 2008, JCDL '08.

[224]  Martin Conboy.  The Language of the News , 2007 .

[225]  David Carmel,et al.  Enhancing cluster labeling using wikipedia , 2009, SIGIR.

[226]  Susan T. Dumais,et al.  Evaluation Challenges and Directions for Information-Seeking Support Systems , 2009, Computer.

[227]  P. Smith,et al.  A review of ontology based query expansion , 2007, Inf. Process. Manag..

[228]  Amanda Spink,et al.  From Highly Relevant to Not Relevant: Examining Different Regions of Relevance , 1998, Inf. Process. Manag..

[229]  Ryen W. White,et al.  Evaluating implicit feedback models using searcher simulations , 2005, TOIS.

[230]  Gerard Salton,et al.  A vector space model for automatic indexing , 1975, CACM.

[231]  Dan Morris,et al.  SearchBar: a search-centric web history for task resumption and information re-finding , 2008, CHI.

[232]  Mohand Boughanem,et al.  A session based personalized search using an ontological user profile , 2009, SAC '09.

[233]  Wolfgang Nejdl,et al.  Using ODP metadata to personalize search , 2005, SIGIR '05.

[234]  Lawrence Wai-Choong Wong,et al.  ANSES: Summarisation of News Video , 2003, CIVR.

[235]  Kamal Ali,et al.  TiVo: making show recommendations using a distributed collaborative filtering architecture , 2004, KDD.

[236]  Susan T. Dumais,et al.  Improving Web Search Ranking by Incorporating User Behavior Information , 2019, SIGIR Forum.

[237]  Yoichi Shinoda,et al.  Information filtering based on user behavior analysis and best match text retrieval , 1994, SIGIR '94.

[238]  M. E. Maron,et al.  On Relevance, Probabilistic Indexing and Information Retrieval , 1960, JACM.

[239]  Henry Lieberman,et al.  Letizia: An Agent That Assists Web Browsing , 1995, IJCAI.

[240]  Peiling Wang,et al.  Mining longitudinal web queries: Trends and patterns , 2003, J. Assoc. Inf. Sci. Technol..

[241]  P. Watzlawick,et al.  Pragmatics of Human Communication: A Study of Interactional Patterns, Pathologies and Paradoxes , 1964 .

[242]  Martin Halvey,et al.  Analysis of online video search and sharing , 2007, HT '07.

[243]  Mark Sanderson,et al.  Advantages of query biased summaries in information retrieval , 1998, SIGIR '98.

[244]  Douglas B. Terry,et al.  Using collaborative filtering to weave an information tapestry , 1992, CACM.

[245]  Gerard Salton,et al.  Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer , 1989 .

[246]  Frank Hopfgartner,et al.  Use of Implicit Graph for Recommending Relevant Videos: A Simulated Evaluation , 2008, ECIR.

[247]  Dragutin Petkovic,et al.  "What is in that Video Anyway?" In Search of Better Browsing , 1999, ICMCS, Vol. 1.

[248]  Susan Gauch,et al.  Personal ontologies for web navigation , 2000, CIKM '00.

[249]  Thomas S. Huang,et al.  Relevance feedback in image retrieval: A comprehensive review , 2003, Multimedia Systems.

[250]  David A. Forsyth,et al.  Learning the semantics of words and pictures , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[251]  Huan Liu,et al.  CubeSVD: a novel approach to personalized Web search , 2005, WWW '05.

[252]  Lee Wilkins.  Deciding What's News: A Study of CBS Evening News, NBC Nightly News, Newsweek, and Time , 2005 .

[253]  Ryen W. White.  Using searcher simulations to redesign a polyrepresentative implicit feedback interface , 2006, Inf. Process. Manag..

[254]  Marcel Worring,et al.  A Learned Lexicon-Driven Paradigm for Interactive Video Retrieval , 2007, IEEE Transactions on Multimedia.

[255]  S. Aksoy,et al.  A Relevance Feedback Technique for Multimodal Retrieval of News Videos , 2005, EUROCON 2005 - The International Conference on "Computer as a Tool".

[256]  Ellen M. Voorhees.  On test collections for adaptive information retrieval , 2008, Inf. Process. Manag..

[257]  Yongdong Zhang,et al.  Segregated feedback with performance-based adaptive sampling for interactive news video retrieval , 2007, ACM Multimedia.

[258]  Louise Cole,et al.  Copyright in the digital age: a UK perspective , 2009 .

[259]  Frank Hopfgartner.  Studying interaction methodologies in video retrieval , 2008, Proc. VLDB Endow..

[260]  Nicholas J. Belkin,et al.  Iterative exploration, design and evaluation of support for query reformulation in interactive information retrieval , 2001, Inf. Process. Manag..

[261]  Dragutin Petkovic,et al.  Content-Based Representation and Retrieval of Visual Media: A State-of-the-Art Review , 1996 .

[262]  Francisco Iacobelli,et al.  Tell me more, not just "more of the same" , 2010, IUI '10.

[263]  Anke Oostendorp,et al.  Dimensions in the perception of architecture:II. Measures of exploratory behavior , 1978 .

[264]  Ji-Rong Wen,et al.  WWW 2007 / Track: Search Session: Personalization A Largescale Evaluation and Analysis of Personalized Search Strategies ABSTRACT , 2022 .

[265]  F. Wilcoxon.  Individual Comparisons by Ranking Methods , 1945 .

[266]  R. Zemel,et al.  Multiscale conditional random fields for image labeling , 2004, CVPR 2004.

[267]  Jum C. Nunnally,et al.  The effects on eye movements of complexity, novelty, and affective tone , 1967 .

[268]  José Luis Vicedo González,et al.  TREC: Experiment and evaluation in information retrieval , 2007, J. Assoc. Inf. Sci. Technol..

[269]  Wendy Hall,et al.  The Semantic Web Revisited , 2006, IEEE Intelligent Systems.

[270]  Martin Halvey,et al.  Search trails using user feedback to improve video search , 2008, ACM Multimedia.

[271]  John Adcock,et al.  Experiments in interactive video search by addition and subtraction , 2008, CIVR '08.

[272]  Gediminas Adomavicius,et al.  Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.

[273]  Bamshad Mobasher,et al.  Data Mining for Web Personalization , 2007, The Adaptive Web.

[274]  Yiannis Kompatsiaris,et al.  Optimizing visual search with implicit user feedback in interactive video retrieval , 2010, CIVR '10.

[275]  Gerard Salton,et al.  Improving retrieval performance by relevance feedback , 1997, J. Am. Soc. Inf. Sci..

[276]  Chrisa Tsinaraki,et al.  Ontology-Based Semantic Indexing for MPEG-7 and TV-Anytime Audiovisual Content , 2005, Multimedia Tools and Applications.

[277]  Marcel Worring,et al.  Browsing visual collections using graphs , 2007, MIR '07.

[278]  Diane Kelly.  Understanding implicit feedback and document preference: a naturalistic user study , 2004, SIGF.

[279]  Javed Mostafa,et al.  Seeking better Web searches. , 2005, Scientific American.

[280]  Matthias Bezold,et al.  Describing User Interactions in Adaptive Interactive Systems , 2009, UMAP.