Abstract
Aggregating results from heterogeneous sources and presenting them in a blended interface – aggregated search – has become standard practice for most commercial Web search engines. Composite retrieval is emerging as a new search paradigm, where users are presented with semantically aggregated information objects, called bundles, containing results originating from different verticals. In this paper we study composite retrieval from the user perspective. We conducted an exploratory user study where 40 participants were required to manually generate bundles that satisfy various information needs, using heterogeneous results retrieved by modern search engines. Our main objective was to analyse the contents and characteristics of user-generated bundles. Our results show that users generate bundles on common subtopics, centred around pivot documents, and that they favour bundles that are relevant, diverse and cohesive.
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References
Angel, A., Chaudhuri, S., Das, G., Koudas, N.: Ranking objects based on relationships and fixed associations. In: EDBT 2009, pp. 910–921 (2009)
Arguello, J., Capra, R.: The effect of aggregated search coherence on search behavior. In: CIKM 2012, pp. 1293–1302 (2012)
Bailey, P., Craswell, N., White, R.W., Chen, L., Satyanarayana, A., Tahaghoghi, S.M.: Evaluating search systems using result page context. In: IIiX 2010, pp. 105-114 (2010)
Bota, H., Zhou, K., Jose, J.M., Lalmas, M.: Composite retrieval of heterogeneous web search. In: WWW 2014, pp. 119–130 (2014)
Bron, M., van Gorp, J., Nack, F., Baltussen, L.B., de Rijke, M.: Aggregated search interface preferences in multi-session search tasks. In: SIGIR 2013, pp. 123–132 (2013)
Corley, C., Mihalcea, R.: Measuring the semantic similarity of texts. In: EMSEE 2005, pp. 13–18 (2005)
Demeester, T., Trieschnigg, D., Nguyen, D., Hiemstra, D.: Overview of the trec 2013 federated web search track. In: Proceedings of the Text Retrieval Conference, pp. 1–11 (2013)
Deng, T., Fan, W., Geerts, F.: On the complexity of package recommendation problems. In: PODS 2012, pp. 261-272 (2012)
Diaz, F., Lalmas, M., Shokouhi, M.: From federated to aggregated search. In: SIGIR 2010, p. 910 (2010)
Golbus, P.B., Zitouni, I., Kim, J.Y., Hassan, A., Diaz, F.: Contextual and dimensional relevance judgments for reusable serp-level evaluation. In: WWW 2014, pp. 131–142 (2014)
Guo, X., Ishikawa, Y.: Multi-objective optimal combination queries. In: Hameurlain, A., Liddle, S.W., Schewe, K.-D., Zhou, X. (eds.) DEXA 2011, Part I. LNCS, vol. 6860, pp. 47–61. Springer, Heidelberg (2011)
Jansen, B.J., Pooch, U.: A review of web searching studies and a framework for future research. J. Am. Soc. Inf. Sci. Technol. 52(3), 235–246 (2001)
Jiang, J.J., Conrath, D.W.: Semantic similarity based on corpus statistics and lexical taxonomy. CoRR, cmp-lg/9709008 (1997)
Käki, M.: Findex: Search result categories help users when document ranking fails. In: CHI 2005, pp. 131–140 (2005)
Mendez-Diaz, I., Zabala, P., Bonchi, F., Castillo, C., Feuerstein, E., Amer-Yahia, S.: Composite retrieval of diverse and complementary bundles. IEEE Transactions on Knowledge and Data Engineering 99(preprints), 1 (2014)
Miller, G.A.: Wordnet: A lexical database for english. Commun. ACM 38(11), 39–41 (1995)
Rose, D.E., Levinson, D.: Understanding user goals in web search. In: WWW 2004, pp. 13-19 (2004)
Spink, A., Jansen, B.J., Wolfram, D., Saracevic, T.: From e-sex to e-commerce: Web search changes. Computer 35(3), 107–109 (2002)
Sushmita, S., Joho, H., Lalmas, M., Villa, R.: Factors affecting click-through behavior in aggregated search interfaces. In: CIKM 2010, pp. 519–528 (2010)
Wilson, M.L., Kules, B., Schraefel, M.C., Shneiderman, B.: Designing future search interfaces for the web. Found. Trends Web Sci. 2(1), 1–97 (2010)
Yue, Z., Han, S., He, D.: Modeling search processes using hidden states in collaborative exploratory web search. In: CSCW 2014, pp. 820–830 (2014)
Zhou, K., Cummins, R., Lalmas, M., Jose, J.M.: Evaluating aggregated search pages. In: SIGIR 2012, pp. 115–124. ACM (2012)
Zhou, K., Cummins, R., Lalmas, M., Jose, J.M.: Which vertical search engines are relevant? In: WWW 2013, pp. 1557-1568 (2013)
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Bota, H., Zhou, K., Jose, J.J. (2015). Exploring Composite Retrieval from the Users’ Perspective. In: Hanbury, A., Kazai, G., Rauber, A., Fuhr, N. (eds) Advances in Information Retrieval. ECIR 2015. Lecture Notes in Computer Science, vol 9022. Springer, Cham. https://doi.org/10.1007/978-3-319-16354-3_2
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DOI: https://doi.org/10.1007/978-3-319-16354-3_2
Publisher Name: Springer, Cham
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