Abstract
We propose and develop new innovative methods for guided exploratory search on the mobile web. The approach has been fully implemented in a system called MobEx on a tablet, i.e. an Apple iPad, and on a mobile device/phone, i.e. Apple iPhone or iPod. Starting from a user’s search query a set of web snippets is collected by a standard search engine in a first step. After that the snippets are collected into one document from which the topic graph is computed. This topic graph is presented to the user in different touchable and interactive graphical representations depending on the screensize of the mobile device. However due to possible semantic ambiguities in the search queries the snippets may cover different thematic areas and so the topic graph may contain associated topics for different semantic entities of the original query. This may lead the user to wrong directions while exploring the solution space. Hence we present our approach for an interactive disambiguation of the search query and so we provide assistance for the users towards a guided exploratory search.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Akhavi, M.S., Rahmati, M., Amini, N.N.: 3d visualization of hierarchical clustered web search results. In: Proceedings of the Computer Graphics, Imaging and Visualisation, CGIV 2007, pp. 441–446. IEEE Computer Society, Washington, DC (2007)
Breese, J.S., Heckerman, D., Kadie, C.: Empirical analysis of predictive algorithms for collaborative filtering, pp. 43–52. Morgan Kaufmann (1998)
Chirita, P.A., Nejdl, W., Paiu, R., Kohlschütter, C.: Using odp metadata to personalize search. In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2005, pp. 178–185. ACM, New York (2005)
Cucerzan, S.: Large-scale named entity disambiguation based on wikipedia data. In: Proc. 2007 Joint Conference on EMNLP and CNLL, pp. 708–716 (2007)
Di Giacomo, E., Didimo, W., Grilli, L., Liotta, G.: Graph visualization techniques for web clustering engines. IEEE Transactions on Visualization and Computer Graphics 13, 294–304 (2007)
Fader, A., Soderland, S., Etzioni, O.: Identifying relations for open information extraction. In: Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, EMNLP 2011, pp. 1535–1545 (2011)
Gauch, S., Chaffee, J., Pretschner, A.: Ontology-based personalized search and browsing. Web Intelli. and Agent Sys. 1, 219–234 (2003)
Gimenez, J., Marquez., L.: Svmtool: A general pos tagger generator based on support vector machines. In: Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC 2004), Lisbon, Portugal, vol. I, pp. 43–46 (2004) ISBN 2-9517408-1-6
Haveliwala, T.H.: Topic-sensitive pagerank. In: Proceedings of the 11th International Conference on World Wide Web, WWW 2002, pp. 517–526. ACM, New York (2002)
Hearst, M.A.: Search User Interfaces. Cambridge University Press (2009)
Hoeber, O., Yang, X.D.: Interactive web information retrieval using wordbars. In: Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2006, pp. 875–882. IEEE Computer Society, Washington, DC (2006)
Jeh, G., Widom, J.: Scaling personalized web search. In: Proceedings of the 12th International Conference on World Wide Web, WWW 2003, pp. 271–279. ACM, New York (2003)
Käki, M.: Findex: search result categories help users when document ranking fails. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2005, pp. 131–140. ACM, New York (2005)
Liu, Z., Lu, Q.: High performance clustering for web person name disambiguation using topic capturing. Ratio (2011)
Marchionini, G.: Exploratory search: from finding to understanding. Commun. ACM 49, 41–46 (2006)
Neumann, G., Schmeier, S.: A mobile touchable application for online topic graph extraction and exploration of web content. In: Proceedings of the ACL 2011 System Demonstrations. ACL (2011)
Neumann, G., Schmeier, S.: Exploratory search on the mobile web. In: 4th International Conference on Agents and Artificial Intelligence (ICAART 2012), pp. 110–119. SciTePress (2012)
Osinski, S., Stefanowski, J.: WeissOsinski, D.: Lingo: Search results clustering algorithm based on singular value decomposition. In: Proceedings of the International IIS: Intelligent Information Processing and Web Mining Conference, Zakopane, Poland. Advances in Soft Computing, pp. 359–368. Springer (2004)
Osinski, S., Weiss, D.: Carrot2: Making sense of the haystack. In: ERCIM News (2008)
Qiu, F., Cho, J.: Automatic identification of user interest for personalized search. In: Proceedings of the 15th International Conference on World Wide Web, WWW 2006, pp. 727–736. ACM, New York (2006)
Sanderson, M.: Ambiguous queries: test collections need more sense. In: Proceedings of the 31st Annual international ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008, pp. 499–506. ACM, New York (2008)
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, CIKM 2005, pp. 824–831. ACM, New York (2005)
Sping, A., Wolfram, D., Jansen, M., Saracevic, T.: Searching the web: The public and their queries. Journal of the American Society for Information Science and Technology, 226–334 (2001)
Sugiyama, K., Hatano, K., Yoshikawa, M.: Adaptive web search based on user profile constructed without any effort from users. In: Proceedings of the 13th International Conference on World Wide Web, WWW 2004, pp. 675–684. ACM, New York (2004)
Sun, J.-T., Zeng, H.-J., Liu, H., Lu, Y., Chen, Z.: Cubesvd: a novel approach to personalized web search. In: Proceedings of the 14th International Conference on World Wide Web, WWW 2005, pp. 382–390. ACM, New York (2005)
Turney, P.D.: Mining the web for synonyms: Pmi-ir versus lsa on toefl. In: Proceedings of the Twelfth European Conference on Machine Learning (2001)
White, R.W., Roth, R.A.: Exploratory search: Beyond the query-response paradigm. Synthesis Lectures on Information Concepts, Retrieval, and Services, vol. 1(1), pp. 1–98 (January 2009)
Zamir, O., Etzioni, O.: Grouper: a dynamic clustering interface to web search results. In: Proceedings of the Eighth International Conference on World Wide Web, WWW 1999, pp. 1361–1374. Elsevier North-Holland, Inc., New York (1999)
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
Neumann, G., Schmeier, S. (2013). Strategies for Guided Exploratory Search on the Mobile Web. In: Fred, A., Dietz, J.L.G., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2012. Communications in Computer and Information Science, vol 415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54105-6_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-54105-6_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54104-9
Online ISBN: 978-3-642-54105-6
eBook Packages: Computer ScienceComputer Science (R0)