publication . Article . 2016

Vers l'intégration des méta-rôles pour la recherche d'information collaborative

Soulier, Laure; Tamine, Lynda;
Open Access French
  • Published: 17 Feb 2016 Journal: Document Numérique (issn: 1279-5127, Copyright policy)
  • Publisher: Lavoisier (Hermes Science Publications)
Abstract
National audience; De nombreux travaux ont démontré le bénéfice de la collaboration pour la résolution de tâches complexes ou exploratoires, impactant la définition des modèles de recherche d'information vers un environnement multi-utilisateur. Dans ce contexte, trois paradigmes ont été mis en avant, dont la division du travail basée sur les rôles, pour structurer la session de recherche et optimiser son efficacité. Dans ce papier, nous proposons d'étudier les caractéristiques de comportement d'une paire de collaborateurs sur la base d'hypothèses de leur complémentarité. Nous définissons ainsi la notion de rôles non labellisés, appelés aussi métarôles, qui sont ...
Subjects
free text keywords: Recherche d'information, Recherche d’information collaborative, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], Théorie de l'information, Métarôles, Expérimentation utilisateurs, Apprentissage non supervisé
31 references, page 1 of 3

Agichtein E., Brill E., Dumais S. T., Ragno R. (2006). Learning user interaction models for predicting web search result preferences. In Proceedings of the annual international sigir conference on research and development in informaion retrieval, p. 3-10. ACM.

Amer-Yahia S., Benedikt M., Bohannon P. (2007). Challenges in Searching Online Communities. IEEE Data Engineering Bulletin, vol. 30, no 2, p. 23-31.

Attfield S., Blandford A., Makri S. (2010). Social and interactional practices for disseminating current awareness information in an organisational setting. Information Processing & Management (IP&M), vol. 46, no 6, p. 646-655. [OpenAIRE]

Bennett P. N., White R. W., Chu W., Dumais S. T., Bailey P., Borisyuk F. et al. (2012). Modeling the impact of short- and long-term behavior on search personalization. In Proceedings of the annual international sigir conference on research and development in information retrieval, p. 185-194. ACM.

Conrad J. G. (2007). E-Discovery Revisited: A Broader Perspective for IR Researchers. In Proceedings of the desi (edd) workshop, p. 321-345.

Fahle T. (2002). Simple and Fast: Improving a Branch-And-Bound Algorithm for Maximum Clique. In Proceedings of the annual european symposium on algorithms, p. 485-498. Springer.

Foley C., Smeaton A. F. (2009). Synchronous Collaborative Information Retrieval: Techniques and Evaluation. In Proceedings of the european conference on advances in information retrieval, p. 42-53. Springer. [OpenAIRE]

Foley C., Smeaton A. F. (2010). Division of Labour and Sharing of Knowledge for Synchronous Collaborative Information Retrieval. Information Processing & Management (IP&M), vol. 46, no 6, p. 762-772.

Foster J. (2006). Collaborative information seeking and retrieval. Annual Review of Information Science & Technology (ARIST), vol. 40, no 1, p. 329-356.

Geng X., Liu T.-Y., Qin T., Li H. (2007). Feature Selection for Ranking. In Proceedings of the annual international sigir conference on research and development in information retrieval, p. 407-414. ACM.

Golder S. A., Donath J. (2004). Social Roles in Electronic Communities. In Proceedings of the association of internet researchers conference.

Golovchinsky G., Pickens J., Back M. (2009). A Taxonomy of Collaboration in Online Information Seeking. In Proceedings of the international workshop on collaborative information retrieval. [OpenAIRE]

Heath A. P., White R. W. (2008). Defection detection: Predicting search engine switching. In Www, p. 1173-1174.

Hendahewa C., Shah C. (2013). Segmental Analysis and Evaluation of User Focused Search Process. In Proceedings of the international conference on machine learning and applications, p. 291-294. IEEE Computer Society.

Henderson K., Gallagher B., Eliassi-Rad T., Tong H., Basu S., Akoglu L. et al. (2012). RolX: Structural Role Extraction & Mining in Large Graphs. In Proceedings of the sigkdd international conference on knowledge discovery and data mining, p. 1231-1239. ACM.

31 references, page 1 of 3
Abstract
National audience; De nombreux travaux ont démontré le bénéfice de la collaboration pour la résolution de tâches complexes ou exploratoires, impactant la définition des modèles de recherche d'information vers un environnement multi-utilisateur. Dans ce contexte, trois paradigmes ont été mis en avant, dont la division du travail basée sur les rôles, pour structurer la session de recherche et optimiser son efficacité. Dans ce papier, nous proposons d'étudier les caractéristiques de comportement d'une paire de collaborateurs sur la base d'hypothèses de leur complémentarité. Nous définissons ainsi la notion de rôles non labellisés, appelés aussi métarôles, qui sont ...
Subjects
free text keywords: Recherche d'information, Recherche d’information collaborative, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], Théorie de l'information, Métarôles, Expérimentation utilisateurs, Apprentissage non supervisé
31 references, page 1 of 3

Agichtein E., Brill E., Dumais S. T., Ragno R. (2006). Learning user interaction models for predicting web search result preferences. In Proceedings of the annual international sigir conference on research and development in informaion retrieval, p. 3-10. ACM.

Amer-Yahia S., Benedikt M., Bohannon P. (2007). Challenges in Searching Online Communities. IEEE Data Engineering Bulletin, vol. 30, no 2, p. 23-31.

Attfield S., Blandford A., Makri S. (2010). Social and interactional practices for disseminating current awareness information in an organisational setting. Information Processing & Management (IP&M), vol. 46, no 6, p. 646-655. [OpenAIRE]

Bennett P. N., White R. W., Chu W., Dumais S. T., Bailey P., Borisyuk F. et al. (2012). Modeling the impact of short- and long-term behavior on search personalization. In Proceedings of the annual international sigir conference on research and development in information retrieval, p. 185-194. ACM.

Conrad J. G. (2007). E-Discovery Revisited: A Broader Perspective for IR Researchers. In Proceedings of the desi (edd) workshop, p. 321-345.

Fahle T. (2002). Simple and Fast: Improving a Branch-And-Bound Algorithm for Maximum Clique. In Proceedings of the annual european symposium on algorithms, p. 485-498. Springer.

Foley C., Smeaton A. F. (2009). Synchronous Collaborative Information Retrieval: Techniques and Evaluation. In Proceedings of the european conference on advances in information retrieval, p. 42-53. Springer. [OpenAIRE]

Foley C., Smeaton A. F. (2010). Division of Labour and Sharing of Knowledge for Synchronous Collaborative Information Retrieval. Information Processing & Management (IP&M), vol. 46, no 6, p. 762-772.

Foster J. (2006). Collaborative information seeking and retrieval. Annual Review of Information Science & Technology (ARIST), vol. 40, no 1, p. 329-356.

Geng X., Liu T.-Y., Qin T., Li H. (2007). Feature Selection for Ranking. In Proceedings of the annual international sigir conference on research and development in information retrieval, p. 407-414. ACM.

Golder S. A., Donath J. (2004). Social Roles in Electronic Communities. In Proceedings of the association of internet researchers conference.

Golovchinsky G., Pickens J., Back M. (2009). A Taxonomy of Collaboration in Online Information Seeking. In Proceedings of the international workshop on collaborative information retrieval. [OpenAIRE]

Heath A. P., White R. W. (2008). Defection detection: Predicting search engine switching. In Www, p. 1173-1174.

Hendahewa C., Shah C. (2013). Segmental Analysis and Evaluation of User Focused Search Process. In Proceedings of the international conference on machine learning and applications, p. 291-294. IEEE Computer Society.

Henderson K., Gallagher B., Eliassi-Rad T., Tong H., Basu S., Akoglu L. et al. (2012). RolX: Structural Role Extraction & Mining in Large Graphs. In Proceedings of the sigkdd international conference on knowledge discovery and data mining, p. 1231-1239. ACM.

31 references, page 1 of 3
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publication . Article . 2016

Vers l'intégration des méta-rôles pour la recherche d'information collaborative

Soulier, Laure; Tamine, Lynda;