Abstract
A result page of a modern commercial search engine often contains documents of different types targeted to satisfy different user intents (news, blogs, multimedia). When evaluating system performance and making design decisions we need to better understand user behavior on such result pages. To address this problem various click models have previously been proposed. In this paper we focus on result pages containing fresh results and propose a way to model user intent distribution and bias due to different document presentation types. To the best of our knowledge this is the first work that successfully uses intent and layout information to improve existing click models.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Agrawal, R., Gollapudi, S., Halverson, A., Ieong, S.: Diversifying search results. In: WSDM, p. 5. ACM (2009)
Arguello, J., Diaz, F., Callan, J., Crespo, J.: Sources of evidence for vertical selection. In: SIGIR, pp. 315–322. ACM (2009)
Arguello, J., Diaz, F., Callan, J.: Learning to Aggregate Vertical Results into Web Search Results. In: CIKM. ACM (2011)
Arguello, J., Diaz, F., Callan, J., Carterette, B.: A Methodology for Evaluating Aggregated Search Results. In: Clough, P., Foley, C., Gurrin, C., Jones, G.J.F., Kraaij, W., Lee, H., Mudoch, V. (eds.) ECIR 2011. LNCS, vol. 6611, pp. 141–152. Springer, Heidelberg (2011)
Arguello, J., Diaz, F., Paiement, J.: Vertical selection in the presence of unlabeled verticals. In: SIGIR. ACM (2010)
Chapelle, O., Metzler, D., Zhang, Y., Grinspan, P.: Expected reciprocal rank for graded relevance. In: CIKM, p. 621. ACM (2009)
Chapelle, O., Zhang, Y.: A dynamic bayesian network click model for web search ranking. In: WWW. ACM (2009)
Chen, D., Chen, W., Wang, H.: Beyond ten blue links: enabling user click modeling in federated web search. In: WSDM. ACM (2012)
Clarke, C.L.A., Craswell, N., Soboroff, I.: A comparative analysis of cascade measures for novelty and diversity. In: WSDM, pp. 75–84. ACM (2011)
Clarke, C., Kolla, M., Cormack, G.: Novelty and diversity in information retrieval evaluation. In: SIGIR. ACM (2008)
Craswell, N., Zoeter, O., Taylor, M., Ramsey, B.: An experimental comparison of click position-bias models. In: WSDM, p. 87. ACM (2008)
Dumais, S., Cutrell, E., Chen, H.: Optimizing search by showing results in context. In: CHI. ACM (2001)
Dupret, G., Piwowarski, B.: A user browsing model to predict search engine click data from past observations. In: SIGIR 2008, pp. 331–338. ACM (2008)
Efron, B., Tibshirani, R.J.: An Introduction to the Bootstrap(Chapman & Hall/CRC Monographs on Statistics & Applied Probability), 1st edn. Chapman and Hall/CRC (May 1994)
Guo, F., Liu, C., Wang, Y.: Efficient multiple-click models in web search. In: WSDM. ACM (2009)
Guo, F., Liu, C., Kannan, A., Minka, T., Taylor, M., Wang, Y.M., Faloutsos, C.: Click chain model in web search. In: WWW. p. 11. ACM (2009)
Hu, B., Zhang, Y., Chen, W., Wang, G., Yang, Q.: Characterizing search intent diversity into click models. In: WWW, p. 17. ACM (2011)
Joachims, T., Granka, L., Pan, B., Hembrooke, H., Gay, G.: Accurately interpreting clickthrough data as implicit feedback. In: SIGIR, p. 154. ACM (2005)
Koller, D., Friedman, N.: Probabilistic Graphical Models: Principles and Techniques. MIT Press (August 2009)
Liu, C., Guo, F., Faloutsos, C.: BBM. In: KDD, p. 537. ACM (June 2009)
Moffat, A., Zobel, J.: Rank-biased precision for measurement of retrieval effectiveness. ACM Transactions on Information Systems 27(1), 1–27 (2008)
Ponnuswami, A.K., Pattabiraman, K., Wu, Q., Gilad-Bachrach, R., Kanungo, T.: On composition of a federated web search result page: using online users to provide pairwise preference for heterogeneous verticals. In: WSDM. ACM (2011)
Radlinski, F., Dumais, S.: Improving personalized web search using result diversification. In: SIGIR. ACM (2006)
Sakai, T., Song, R.: Evaluating diversified search results using per-intent graded relevance. In: SIGIR. ACM (2011)
Styskin, A., Romanenko, F., Vorobyev, F., Serdyukov, P.: Recency ranking by diversification of result set. In: CIKM, pp. 1949–1952. ACM (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chuklin, A., Serdyukov, P., de Rijke, M. (2013). Using Intent Information to Model User Behavior in Diversified Search. In: Serdyukov, P., et al. Advances in Information Retrieval. ECIR 2013. Lecture Notes in Computer Science, vol 7814. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36973-5_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-36973-5_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36972-8
Online ISBN: 978-3-642-36973-5
eBook Packages: Computer ScienceComputer Science (R0)