User simulations for interactive search: Evaluating personalized query suggestion

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

Volumn 9022, Issue , 2015, Pages 678-690

  Verberne, Suzan ^a   Sappelli, Maya ^a,b   Järvelin, Kalervo ^c   Kraaij, Wessel ^a,b  

^a RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^b TNO   (Netherlands)

^c TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

Academic search; Interactive search; Query suggestion; User interaction; User simulations

Indexed keywords

INFORMATION RETRIEVAL; SEARCH ENGINES;

ACADEMIC SEARCH; INTERACTIVE SEARCH; QUERY SUGGESTION; USER INTERACTION; USER SIMULATION;

BEHAVIORAL RESEARCH;

EID: 84925435395     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-16354-3_75     Document Type: Conference Paper

References (20)

1. Azzopardi, L., Järvelin, K., Kamps, J., Smucker, M.D.: Report on the sigir 2010 workshop on the simulation of interaction. SIGIR Forum 44(2), 35–47 (2011)
2. Azzopardi, L., Kelly, D., Brennan, K.: How query cost affects search behavior. In: Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 23–32. ACM (2013)
3. Baskaya, F., Keskustalo, H., Järvelin, K.: Time drives interaction: simulating sessions in diverse searching environments. In: Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 105–114. ACM (2012)
4. Bates, M.J.: Information search tactics. Journal of the American Society for information Science 30(4), 205–214 (1979)
5. 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)
6. Bhatia, S., Majumdar, D., Mitra, P.: Query suggestions in the absence of query logs. In: Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 795–804. ACM (2011)
7. 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)
8. Guan, Z., Cutrell, E.: An eye tracking study of the effect of target rank on web search. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 417–420. ACM (2007)
9. Guo, F., Liu, C., Kannan, A., Minka, T., Taylor, M., Wang, Y.M., Faloutsos, C.: Click chain model in web search. In: Proceedings of the 18th International Conference on World wide Web, pp. 11–20. ACM (2009)
10. 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)
11. 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)
12. Järvelin, K.: Interactive relevance feedback with graded relevance and sentence extraction: simulated user experiments. In: Proceedings of the 18th ACM Conference on Information and Knowledge Management, pp. 2053–2056. ACM (2009)
13. Järvelin, K., Kekäläinen, J.: IR evaluation methods for retrieving highly relevant documents. In: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 41–48. ACM (2000)
14. Joachims, T., Granka, L., Pan, B., Hembrooke, H., Gay, G.: Accurately interpreting clickthrough data as implicit feedback. In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 154–161. ACM (2005)
15. Keskustalo, H., Järvelin, K., Pirkola, A., Sharma, T., Lykke, M.: Test collectionbased IR evaluation needs extension toward sessions – A case of extremely short queries. In: Lee, G.G., Song, D., Lin, C.-Y., Aizawa, A., Kuriyama, K., Yoshioka, M., Sakai, T. (eds.) AIRS 2009. LNCS, vol. 5839, pp. 63–74. Springer, Heidelberg (2009)
16. 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)
17. 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., R¨uger, S., van Rijsbergen, K. (eds.) ECIR 2010. LNCS, vol. 5993, pp. 627–630. Springer, Heidelberg (2010)
18. Shen, X., Tan, B., Zhai, C.: Implicit user modeling for personalized search. In: Proceedings of the 14th ACM International Conference on Information and Knowledge Management, pp. 824–831. ACM (2005)
19. 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)
20. Verberne, S., Sappelli, M., Kraaij, W.: Query term suggestion in academic search. In: de Rijke, M., Kenter, T., de Vries, A.P., Zhai, C., de Jong, F., Radinsky, K., Hofmann, K. (eds.) ECIR 2014. LNCS, vol. 8416, pp. 560–566. Springer, Heidelberg (2014)