Query term suggestion in academic search

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8416 LNCS, Issue , 2014, Pages 560-566

  Verberne, Suzan ^a   Sappelli, Maya ^a,b   Kraaij, Wessel ^a,b  

^a RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^b TNO   (Netherlands)

Author keywords

Professional search; query term suggestion; user interaction

Indexed keywords

BEHAVIORAL RESEARCH; EDUCATION; GRAPHICAL USER INTERFACES; INFORMATION RETRIEVAL; INFORMATION USE;

INFORMATION SEEKING; INFORMATION SEEKING BEHAVIOURS; INTERACTIVE SEARCH; PROFESSIONAL SEARCH; QUERY SPECIFICATION; QUERY TERMS; RELEVANCE JUDGEMENT; USER INTERACTION;

INFORMATION RETRIEVAL SYSTEMS;

EID: 84899951083     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-06028-6_57     Document Type: Conference Paper

References (10)

1. Belkin, N.J., Cool, C., Kelly, D., Lin, S.J., Park, S., Perez-Carballo, J., Sikora, C.: Iterative exploration, design and evaluation of support for query reformulation in interactive information retrieval. Information Processing & Management 37(3), 403-434 (2001)
2. Feild, H., Allan, J.: Task-aware query recommendation. In: Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2013, pp. 83-92. ACM, New York (2013)
3. Hienert, D., Schaer, P., Schaible, J., Mayr, P.: A novel combined term suggestion service for domain-specific digital libraries. In: Gradmann, S., Borri, F., Megh-ini, C., Schuldt, H. (eds.) TPDL 2011. LNCS, vol. 6966, pp. 192-203. Springer, Heidelberg (2011)
4. Hofmann, K., Schuth, A., Whiteson, S., de Rijke, M.: Reusing historical interaction data for faster online learning to rank for ir. In: Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, WSDM 2013, pp. 183-192. ACM, New York (2013)
5. Huang, C.K., Chien, L.F., Oyang, Y.J.: Relevant term suggestion in interactive web search based on contextual information in query session logs. Journal of the American Society for Information Science and Technology 54(7), 638-649 (2003)
6. Kim, Y., Seo, J., Croft, W.B.: Automatic boolean query suggestion for professional search. In: Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, pp. 825-834. ACM, New York (2011)
7. Lioma, C., Larsen, B., Ingwersen, P.: Preliminary experiments using subjective logic for the polyrepresentation of information needs. In: Proceedings of the 4th Information Interaction in Context Symposium, pp. 174-183. ACM (2012)
8. Lykke, M., Larsen, B., Lund, H., Ingwersen, P.: Developing a test collection for the evaluation of integrated search. In: Gurrin, C., He, Y., Kazai, G., Kruschwitz, U., Little, S., Roelleke, T., Rüger, S., van Rijsbergen, K. (eds.) ECIR 2010. LNCS, vol. 5993, pp. 627-630. Springer, Heidelberg (2010)
9. Tomokiyo, T., Hurst, M.: A language model approach to keyphrase extraction. In: Proceedings of the ACL 2003 Workshop on Multiword Expressions: Analysis, Acquisition and Treatment, vol. 18, pp. 33-40. Association for Computational Linguistics (2003)
10. Verberne, S., Sappelli, M., Kraaij, W.: Term extraction for user profiling: evaluation by the user. In: Late-Breaking Results, Project Papers and Workshop Proceedings of the 21st Conference on User Modeling, Adaptation, and Personalization, CEUR, pp. 51-57 (2013)