RSS-based interoperability for user adaptive systems

Y. Wang; F. Cena; F. Carmagnola; O. Cortassa; C. Gena; N. Stash; L.M. Aroyo

doi:10.1007/978-3-540-70987-9_52

RSS-based interoperability for user adaptive systems

Y. Wang, F. Cena, F. Carmagnola, O. Cortassa, C. Gena, N. Stash, L.M. Aroyo

Databases and Hypermedia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

12 Citations (Scopus)

Abstract

This paper presents an approach to exploit widely used tag annotations to address two important issues in user-adaptive systems: the cold-start problem and the integration of distributed user models. The paper provides an example of re-use of user interaction data (tags) generated by one application into another one in similar domains for providing cross-system recommendations.

Original language	English
Title of host publication	Adaptive Hypermedia and Adaptive Web-Based Systems (5th International Conference, AH 2008, Hannover, Germany, July 29-August 1, 2008, Proceedings)
Editors	W. Nejdl, J. Kay, P. Pu, E. Herder
Place of Publication	Berlin
Publisher	Springer
Pages	353-356
ISBN (Print)	978-3-540-70984-8
DOIs	https://doi.org/10.1007/978-3-540-70987-9_52
Publication status	Published - 2008

Publication series

Name	Lecture Notes in Computer Science
Volume	5149
ISSN (Print)	0302-9743

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Wang, Y., Cena, F., Carmagnola, F., Cortassa, O., Gena, C., Stash, N., & Aroyo, L. M. (2008). RSS-based interoperability for user adaptive systems. In W. Nejdl, J. Kay, P. Pu, & E. Herder (Eds.), Adaptive Hypermedia and Adaptive Web-Based Systems (5th International Conference, AH 2008, Hannover, Germany, July 29-August 1, 2008, Proceedings) (pp. 353-356). (Lecture Notes in Computer Science; Vol. 5149). Berlin: Springer. https://doi.org/10.1007/978-3-540-70987-9_52

Wang, Y. ; Cena, F. ; Carmagnola, F. ; Cortassa, O. ; Gena, C. ; Stash, N. ; Aroyo, L.M. / RSS-based interoperability for user adaptive systems. Adaptive Hypermedia and Adaptive Web-Based Systems (5th International Conference, AH 2008, Hannover, Germany, July 29-August 1, 2008, Proceedings). editor / W. Nejdl ; J. Kay ; P. Pu ; E. Herder. Berlin : Springer, 2008. pp. 353-356 (Lecture Notes in Computer Science).

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abstract = "This paper presents an approach to exploit widely used tag annotations to address two important issues in user-adaptive systems: the cold-start problem and the integration of distributed user models. The paper provides an example of re-use of user interaction data (tags) generated by one application into another one in similar domains for providing cross-system recommendations.",

author = "Y. Wang and F. Cena and F. Carmagnola and O. Cortassa and C. Gena and N. Stash and L.M. Aroyo",

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Wang, Y, Cena, F, Carmagnola, F, Cortassa, O, Gena, C, Stash, N & Aroyo, LM 2008, RSS-based interoperability for user adaptive systems. in W Nejdl, J Kay, P Pu & E Herder (eds), Adaptive Hypermedia and Adaptive Web-Based Systems (5th International Conference, AH 2008, Hannover, Germany, July 29-August 1, 2008, Proceedings). Lecture Notes in Computer Science, vol. 5149, Springer, Berlin, pp. 353-356. https://doi.org/10.1007/978-3-540-70987-9_52

RSS-based interoperability for user adaptive systems. / Wang, Y.; Cena, F.; Carmagnola, F.; Cortassa, O.; Gena, C.; Stash, N.; Aroyo, L.M.

Adaptive Hypermedia and Adaptive Web-Based Systems (5th International Conference, AH 2008, Hannover, Germany, July 29-August 1, 2008, Proceedings). ed. / W. Nejdl; J. Kay; P. Pu; E. Herder. Berlin : Springer, 2008. p. 353-356 (Lecture Notes in Computer Science; Vol. 5149).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Wang Y, Cena F, Carmagnola F, Cortassa O, Gena C, Stash N et al. RSS-based interoperability for user adaptive systems. In Nejdl W, Kay J, Pu P, Herder E, editors, Adaptive Hypermedia and Adaptive Web-Based Systems (5th International Conference, AH 2008, Hannover, Germany, July 29-August 1, 2008, Proceedings). Berlin: Springer. 2008. p. 353-356. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-540-70987-9_52