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Personalised multilingual hypertext retrieval: an overview

Published: 06 June 2011 Publication History

Abstract

The aims of the workshop on Personalised Multilingual Hypertext Retrieval (PMHR) are twofold: to set the scene in this challenging area, allowing the different communities engaged in related research topics to meet and to determine a program of actions to undertake; to devise a strategy for the evaluation of PMHR systems, which should define the collection of resources to use to evaluate such systems together with the evaluation metrics to use.
The workshop results will be of use in the design of personalised tools that can help end-users fully benefit from the use of distributed multilingual hypertext content.

References

[1]
Ghorab, M. R., Zhou, D., Steichen, B., Wade, V.: Towards multilingual user models for personalized multilingual information retrieval. In: The First Workshop on Personalised Multilingual Hypertext Retrieval (PMHR 2011). (2011)
[2]
Lops, P., Musto, C., Narducci, F., Gemmis, M. D., Basile, P., Semeraro, G.: Learning semantic content-based profiles for cross-language recommendations. In: The First Workshop on Personalised Multilingual Hypertext Retrieval (PMHR 2011). (2011)
[3]
Levacher, K., Lawless, S., Wade, V.: A proposal for the evaluation of adaptive content retrieval, modification and delivery. In: The First Workshop on Personalised Multilingual Hypertext Retrieval (PMHR 2011). (2011)
[4]
Ganguly, D., Leveling, J., Li, W., Jones, G.: Towards evaluation of personalized and collaborative information retrieval. In: The First Workshop on Personalised Multilingual Hypertext Retrieval (PMHR 2011). (2011)
[5]
Agosti, M., Canova, G. M., Orio, N., Ponchia, C.: Methods of personalising a collection of images using linking annotations. (2011)

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cover image ACM Conferences
PMHR '11: Proceedings of the First Workshop on Personalised Multilingual Hypertext Retrieval
June 2011
61 pages
ISBN:9781450308977
DOI:10.1145/2047403
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 06 June 2011

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