Laboratory of Computer and Information Science / Neural Networks Research Centre CIS Lab Helsinki University of Technology

PROACTIVE INFORMATION RETRIEVAL BY ADAPTIVE MODELS OF

USERS' ATTENTION AND INTERESTS (PRIMA)


A research project in the research programme on proactive information technology
Proaktiivinen tietotekniikka (PROACT) ,
funded by The Academy of Finland.


This project ended in 2005 and the research on proactive information retrieval continues under new projects. According to the evaluation report of the PROACT programme (www.aka.fi/julkaisut > Julkaisusarjan julkaisut > 2/07 Research Programme on Proactive Computing (PROACT) 2002-2005), "a broader outcome was the creation of a new area of research ."



Motivation

Successful proactivity, i.e. anticipation, in varying contexts requires generalization from past experience. Generalization, on its part, requires suitable powerful (stochastic) models and a collection of data about relevant past history to learn the models.

Objectives

The goal of PRIMA project is to build statistical machine learning models that learn from the actions of people to model their intentions and actions. The models are used for disambiguating the users' vague commands and anticipating their actions. The actions and interests are monitored by measuring eye fixations and movements that exhibit both voluntary and involuntary signs of the users' intentions.

The models will be implemented and incorporated into a software tool offering a platform for applications in a prototype area, proactive information retrieval.
 


Example eye movement trajectory

Partners

Challenge

INFERRING RELEVANCE FROM EYE MOVEMENTS CHALLENGE

1 March - 30 September 2005
The objective of the Challenge is to predict from eye movement data whether a reader finds a text relevant.

NIPS 2005 Workshopnew-logo

WORKSHOP ON MACHINE LEARNING FOR IMPLICIT FEEDBACK AND USER MODELING

December 10 at Whistler, Canada
The workshop is intended to gather together machine learning researchers interested in a new promising and challenging research area. Half of the papers will introduce best-performing solutions of the Challenge, the rest will broaden the scope towards other implicit feedback signals, and towards more general problems of user modeling.

Media & Events



Publications


2006

 
  1. M. Berg, T. Marttila, M. Kaipainen, I. Kojo: Exploring Political Agendas with Advanced Visualizations and Interface Tools. In e-Service Journal, Volume 4, Number 2.

  2. T. Lepola: Inferring relevance from Eye Movements using Generic Neural Microcircuits. In NIPS 2005 Workshop on Machine Learning for Implicit Feedback and User Modeling. Whistler, Canada, December 2005. To appear in 2006.

  3. M. Miettinen, J. Kurhila, P. Nokelainen, H. Tirri: Supporting Open-Ended Discourse with Transparent Groupware. In International Journal of Web Based Communities, Vol. 2, No. 1, pp. 17-30.

  4. T. Roos, P. Grünwald, P. Myllymäki, H. Tirri: Generalization to Unseen Cases. To appear in Advances in Neural Information Processing Systems 19 (NIPS 05). MIT Press, Cambridge, MA, 2006. (pdf)

2005

 
  1. W. Buntine, J. Löfström, S. Perttu and K. Valtonen: Topic-Specific Scoring of Documents for Relevant Retrieval. In Workshop on Learning in Web Search Pp. 34-41 (LWS 2005). (pdf)

  2. S. Kaski: Proactive information retrieval by monitoring eye movements. In Abstracts of BrainIT, The Second International Conference on Brain-Inspired Information Technology, p. 28. Kyushu Institute of Technology, Kitakuyshu, Japan, 2005. Abstract of an invited talk. pdf.

  3. S. Kaski, P. Myllymäki, and I. Kojo: User models from implicit feedback for proactive information retrieval. In C. de la Higuera and T. Artieres, editors, Proceedings of Workshop 4 of the 10th International Conference on User Modeling; Machine Learning for User Modeling: Challenges, pages 25-26. 2005. (abstract, pdf).

  4. M.Miettinen, J.Kurhila, P.Nokelainen, H.Tirri: OurWeb - Transparent Groupware for Online Communities. In Proceedings of the IADIS International Conference on Web-Based Communities 2005, Algarve, Portugal, February 2005, pp. 53-61. (pdf)

  5. M. Miettinen, J. Kurhila, H. Tirri: On the Prospects of Intelligent Collaborative E-learning Systems. Pp. 483-490 in the Proceedings of the 12th International Conference on Artificial Intelligence in Education. IOS Press. (pdf)

  6. M.Miettinen, P.Nokelainen, J.Kurhila, T.Silander, H.Tirri: EDUFORM - A Tool for Creating Adaptive Questionnaires. In International Journal on E-Learning, Vol. 4 (2005), No. 3, pp. 365-373. (pdf)

  7. M. Miettinen, P. Nokelainen, J. Kurhila, H. Tirri: Evaluating the Effect of Social Cues with Automated Experiments. Elektrotechnik & Informationstechnik, Vol. 122, No. 12, pp. 477-481.

  8. M. Miettinen, V. Tuulos, P. Myllymäki: A Testbed for Proactive Information Retrieval. Pp. 137-146 in Proceedings of the Workshop on Context Awareness for Proactive Systems (CAPS 2005), edited by P. Floreen, G. Linden, T. Niklander and K. Raatikainen. Helsinki Institute for Information Technology HIIT, Helsinki 2005 (HIIT Publications 2005-1). (pdf)

  9. P.Nokelainen, M.Miettinen, J.Kurhila, P.Floréen, H.Tirri: A Shared Document-Based Annotation Tool to Support Learner-Centered Collaborative Learning. In British Journal of Educational Technology, Vol. 36, No. 5, pp. 757-770. (pdf)

  10. J. Perkiö, V. Tuulos, W. Buntine, H. Tirri: Multi-Faceted Information Retrieval System for Large Scale Email Archives. In Proceedings of the IEEE/WIC/ACM Conference on Web Intelligence (WI 2005). (pdf)

  11. K. Puolamäki, J. Salojärvi, E. Savia, J. Simola, S. Kaski: Combining Eye Movements and Collaborative Filtering for Proactive Information Retrieval .In: Marchionini, Moffat, Tait, Baeza-Yates, Ziviani (eds.): SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 146-153. ACM press, New York, USA. 2005.(abstract,pdf).

  12. T.Roos, H.Wettig, P.Grünwald, P.Myllymäki, H.Tirri: On Discriminative Bayesian Network Classifiers and Logistic Regression. Machine Learning 59:3, pp. 267-296. (pdf)

  13. J. Salojärvi, K. Puolamäki, S. Kaski: Expectation Maximization Algorithms for Conditional Likelihoods . In Luc De Raedt and Stefan Wrobel, editors, Proceedings of the 22nd International Conference on Machine Learning (ICML 2005), pp. 753-760. ACM press, New York, USA. 2005. (abstract, pdf).

  14. J. Salojärvi, K. Puolamäki, S. Kaski: Implicit Relevance Feedback from Eye Movements . In: Duch, Kacprzyk, Oja, Zadrozny (eds.): Artificial Neural Networks: Biological Inspirations - ICANN 2005: 15th International Conference. Proceedings, Part I. Lecture Notes in Computer Science 3696, pages 513 - 518. Springer-Verlag, Berlin, Germany. 2005. (abstract, pdf,DOI).

  15. J. Salojärvi, K. Puolamäki, S. Kaski: On Discriminative Joint Density Modeling. In: Gama, Camacho, Brazdil, Jorge, Torgo (eds.): Machine Learning: ECML 2005. (Proceedings of 16th European Conference on Machine Learning), Lecture Notes in Artificial Intelligence 3270, pages 341-352. Springer-Verlag, Berlin, Germany. 2005. (abstract, pdf,DOI).

  16. E. Savia, K. Puolamäki, J. Sinkkonen, S. Kaski: Two-Way Latent Grouping Model for User Preference Prediction. In Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI) 2005, pp. 518-525. (abstract, pdf).

  17. V. Tuulos and T. Silander: Language Pragmatics, Contexts and a Search Engine. In the Proceedings of the International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning (Espoo, Finland, June 2005).(pdf)

2004

 
  1. W.Buntine, S.Perttu, V.Tuulos: Using Discrete PCA on Web Pages. In Proceedings of the Workshop W1 on Statistical Approaches for Web Mining (SAWM) Edited by M. Gori, M. Ceci and M. Nanni. Pisa, Italy, September 2004., Pp. 99-110. (pdf)

  2. J. Kurhila, M. Miettinen, P. Nokelainen, H. Tirri: The Role of the Learning Platform in Student-Centered E-Learning. In the Proceedings of the 4th IEEE International Conference on Advanced Learning Technologies,Joensuu, Finland, August 2004, pp. 540-544. (pdf)

  3. G. Lugano, P. Nokelainen, M. Miettinen, J. Kurhila, H. Tirri: On the Relationship Between Learners' Orientations and Activity in CSCL. In the Proceedings of the 4th IEEE International Conference on Advanced Learning Technologies, Joensuu, Finland, August 2004, pp. 759-761. (pdf)

  4. Jarkko Salojärvi, Kai Puolamäki, and Samuel Kaski: Relevance feedback from eye movements for proactive information retrieval. In Workshop on Processing Sensory Information for Proactive Systems (PSIPS 2004), Oulu Finland, June 14-15, 2004. (abstract, postscript gzipped postscript, pdf).

    Also a poster presented at Machine Learning Meets the User Interface workshop at NIPS'03. (abstract[postscript],  poster[pdf]).

  5. Eerika Savia, Samuel Kaski, Ville Tuulos and Petri Myllymäki: On Text-Based Estimation of Document Relevance In Proceedings of the International Joint Conference on Neural Networks (IJCNN'04), Budapest, Hungary, July 2004, pp.3275-3280. (abstract, postscript, gzipped postscript, pdf).

  6. V. Tuulos, H. Tirri: Combining Topic Models and Social Networks for Chat Data Mining. In Proceedings of the IEEE/WIC/ACM Conference on Web Intelligence (WI 2004), pp. 206-213. (pdf)


2003

 
  1. J.Kurhila, M.Miettinen, P.Nokelainen, H.Tirri: EDUCO - A Collaborative Learning Environment Based on Social Navigation. In the Proceedings of the 2nd International Conference on Adaptive Hypermedia and Adaptive Web Based Systems (Malaga, Spain, May 2002), Pp. 37-42. (pdf).

  2. M.Miettinen, J.Kurhila, P.Nokelainen, P.Floréen, H.Tirri: EDUCOSM - Personalized Writable Web for Learning Communities. Proceedings of the ITCC 2003 Conference (Las Vegas, USA, April 2003).Pp. 37-42. (pdf).

  3. Jarkko Salojärvi, Ilpo Kojo, Jaana Simola, and Samuel Kaski: Can relevance be inferred from eye movements in information retrieval? In Proceedings of the Workshop on Self-Organizing Maps (WSOM'03), Hibikino, Kitakyushu, Japan, September 2003. pp. 261-266. (abstract, postscript, gzipped postscript, pdf).

  4. Jaana Simola, Nelli Salminen, and Ilpo Kojo: Eye movements in an information search task. European Conference on Visual Perception (ECVP) 2003, Paris, France, 1-5 September 2003.(abstract).

  5. H.Wettig, J.Lahtinen, T.Lepola, P.Myllymäki, H.Tirri: Bayesian Analysis of Online Newspaper Log Data.In Proceedings of the 2003 Symposium on Applications and the Internet Workshops (SAINT 2003 Workshops). Pp. 282-287. IEEE Computer Society, Los Alamitos, California, 2003. (pdf).




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