Abstract
The wide adoption of smartphones eliminates the time and location barriers for people’s daily information access, but also limits users’ information exploration activities due to the small mobile screen size. Thus, cross-device web search, where people initialize information needs on one device but complete them on another device, is frequently observed in modern search engines, especially for exploratory information needs. This paper aims to support the cross-device web search, on top of the commonly used context-sensitive retrieval framework, for exploratory tasks. To better model users’ search context, our method not only utilizes the search history (query history and click-through) but also employs the mobile touch interactions (MTI) on mobile devices. To be more specific, we combine MTI’s ability of locating relevant subdocument content [10] with the idea of social navigation that aggregates MTIs from other users who visit the same page. To demonstrate the effectiveness of our proposed approach, we designed a user study to collect cross-device web search logs on three different types of tasks from 24 participants and then compared our approach with two baselines: a traditional full text based relevance feedback approach and a self-MTI based subdocument relevance feedback approach. Our results show that the social navigation-based MTIs outperformed both baselines. A further analysis shows that the performance improvements are related to several factors, including the quality and quantity of click-through documents, task types and users’ search conditions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bennett, P.N., White, R., Chu, W., Dumais, S.T., Bailey, P., Borisyuk, F., Cui, X.: Modeling the impact of short-and long-term behavior on search personalization. In: SIGIR, pp. 185–194 (2012)
Biedert, R., Dengel, A., Buscher, G., Vartan, A.: Reading and estimating gaze on smart phones. In: ETRA, pp. 385–388 (2012)
Brusilovsky, P., Chavan, G., Farzan, R.: Social adaptive navigation support for open corpus electronic textbooks. In: De Bra, P.M.E., Nejdl, W. (eds.) AH 2004. LNCS, vol. 3137, pp. 24–33. Springer, Heidelberg (2004)
Buscher, G., Dengel, A., van Elst, L.: Query expansion using gaze-based feedback on the subdocument level. In: SIGIR, pp. 387–394 (2008)
De Bra, P., Brusilovsky, P., Houben, G.: Adaptive hypermedia: from systems to framework. ACM Computing Surveys (CSUR) 31(4es), 12 (1999)
Dourish, P., Chalmers, M.: Running out of space: models of information navigation. In: Short Paper Presented at HCI, vol. 94, pp. 23–26 (1994)
Evans, B.M., Chi, E.H.: An elaborated model of social search. Information Processing & Management 46(6), 656–678 (2010)
Farzan, R.: A study of social navigation support under different situational and personal factors. Doctoral Thesis of University of Pittsburgh (2009)
Guo, Q., Jin, H., Lagun, D., Yuan, S., Agichtein, E.: Mining touch interaction data on mobile devices to predict web search result relevance. In: SIGIR, pp. 153–162 (2013)
Han, S., He, D., Yue, Z.: Understanding and Supporting Cross-Device Web Search for Exploratory Tasks with Mobile Touch Interactions. TOIS (2015)
Han, S., Hsiao, I.-H., Parra, D.: A study of mobile information exploration with multi-touch interactions. In: Kennedy, W.G., Agarwal, N., Yang, S.J. (eds.) SBP 2014. LNCS, vol. 8393, pp. 269–276. Springer, Heidelberg (2014)
Jiang, J., Han, S., Wu, J., He, D.: PITT at TREC 2011 Session Track (2011)
Kamvar, M., Baluja, S.: Deciphering trends in mobile search. IEEE Computer 8, 58–62 (2007)
Liu, X., Croft, W.B.: Passage retrieval based on language models. In: CIKM, pp. 375–382 (2002)
Marchionini, G.: Exploratory search: from finding to understanding. Communications of the ACM 49(4), 41–46 (2006)
Montañez, G.D., White, R.W., Huang, X.: Cross-device search. In: CIKM, pp. 1669–1678 (2014)
Raman, K., Bennett, P.N., Collins-Thompson, K.: Toward whole-session relevance: exploring intrinsic diversity in web search. In: SIGIR, pp. 463–472 (2013)
Shen, X., Tan, B., Zhai, C.: Context-sensitive information retrieval using implicit feedback. In: SIGIR, pp. 43–50 (2005)
Smyth, B.: A community-based approach to personalizing web search. IEEE Computer 40(8), 42–50 (2007)
Song, Y., Ma, H., Wang, H., Wang, K.: Exploring and exploiting user search behavior on mobile and tablet devices to improve search relevance. In: WWW, pp. 1201–1212 (2013)
Särkkä, S.: Bayesian filtering and smoothing, vol. 3. Cambridge University Press (2013)
Wang, Y., Xiao, H., White, R.: Characterizing and supporting cross-device search tasks. In: WSDM, pp. 707–716 (2013)
White, R.W., Chu, W., Hassan, A., He, X., Song, Y., Wang, H.: Enhancing personalized search by mining and modeling task behavior. In: WWW, pp. 1411–1420 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Han, S., He, D., Yue, Z., Brusilovsky, P. (2015). Supporting Cross-Device Web Search with Social Navigation-Based Mobile Touch Interactions. In: Ricci, F., Bontcheva, K., Conlan, O., Lawless, S. (eds) User Modeling, Adaptation and Personalization. UMAP 2015. Lecture Notes in Computer Science(), vol 9146. Springer, Cham. https://doi.org/10.1007/978-3-319-20267-9_12
Download citation
DOI: https://doi.org/10.1007/978-3-319-20267-9_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-20266-2
Online ISBN: 978-3-319-20267-9
eBook Packages: Computer ScienceComputer Science (R0)Springer Nature Proceedings Computer Science
