Adaptive Faceted Search for Product Comparison on the Web of Data

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9114)


In this paper, we study the appropriateness of adaptive faceted search as a search paradigm for e-commerce on the Web of Data. We provide preliminary evidence that the product space in a sample dataset narrows down logarithmically by the number of product features used in a query, and show that the usability of an adaptive, instance-driven faceted search interface is comparable to approaches with hard-wired product features, while improving the depth of product search and comparison.


E-commerce Product comparison Faceted search Usability SUS HCI Linked data Semantic Web RDF SPARQL 


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  1. 1.
    Abel, F., Celik, I., Houben, G.-J., Siehndel, P.: Leveraging the semantics of tweets for adaptive faceted search on twitter. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) ISWC 2011, Part I. LNCS, vol. 7031, pp. 1–17. Springer, Heidelberg (2011) CrossRefGoogle Scholar
  2. 2.
    Arenas, M., Cuenca Grau, B., Kharlamov, E., Marciuška, S., Zheleznyakov, D.: Faceted search over ontology-enhanced RDF data. In: Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014), pp. 939–948. ACM, Shanghai (2014)Google Scholar
  3. 3.
    Arenas, M., Cuenca Grau, B., Kharlamov, E., Marciuška, S., Zheleznyakov, D.: Towards semantic faceted search. In: Poster Proceedings of the 23rd International World Wide Web Conference (WWW 2014 Companion), pp. 219–220. ACM, Seoul (2014)Google Scholar
  4. 4.
    Bangor, A., Kortum, P., Miller, J.: Determining What Individual SUS Scores Mean: Adding an Adjective Rating Scale. Journal of Usability Studies 4(3), 114–123 (2009)Google Scholar
  5. 5.
    Bates, M.J.: The Design of Browsing and Berrypicking Techniques for the Online Search Interface. Online Information Review 13(5), 407–424 (1989)CrossRefGoogle Scholar
  6. 6.
    Berners-Lee, T., Chen, Y., Chilton, L., Connolly, D., Dhanaraj, R., Hollenbach, J., Lerer, A., Sheets, D.: Tabulator: exploring and analyzing linked data on the semantic web. In: Proceedings of the 3rd International Semantic Web User Interaction Workshop (SWUI 2006), Athens, GA, USA (2006)Google Scholar
  7. 7.
    Brooke, J.: SUS - A quick and dirty usability scale. In: Jordan, P., Thomas, B., Weerdmeester, B., McClelland, I. (eds.) Usability Evaluation in Industry, pp. 189–194. Taylor & Francis (1996)Google Scholar
  8. 8.
    Ferré, S., Hermann, A.: Semantic search: reconciling expressive querying and exploratory search. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) ISWC 2011, Part I. LNCS, vol. 7031, pp. 177–192. Springer, Heidelberg (2011) CrossRefGoogle Scholar
  9. 9.
    Hahn, R., Bizer, C., Sahnwaldt, C., Herta, C., Robinson, S., Bürgle, M., Düwiger, H., Scheel, U.: Faceted wikipedia search. In: Abramowicz, W., Tolksdorf, R. (eds.) BIS 2010. LNBIP, vol. 47, pp. 1–11. Springer, Heidelberg (2010) CrossRefGoogle Scholar
  10. 10.
    Koren, J., Zhang, Y., Liu, X.: Personalized interactive faceted search. In: Proceedings of the 17th International World Wide Web Conference (WWW 2008), pp. 477–485. ACM, Beijing (2008)Google Scholar
  11. 11.
    Marchionini, G.: Exploratory Search: From Finding to Understanding. Communications of the ACM 49(4), 41–46 (2006)CrossRefGoogle Scholar
  12. 12.
    Morville, P., Callender, J.: Search Patterns. O’Reilly Media (2010)Google Scholar
  13. 13.
    Oren, E., Delbru, R., Decker, S.: Extending faceted navigation for RDF data. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L.M. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 559–572. Springer, Heidelberg (2006) CrossRefGoogle Scholar
  14. 14.
    Quinlan, J.R.: Induction of Decision Trees. Machine Learning 1(1), 81–106 (1986)Google Scholar
  15. 15.
    Sacco, G.M.: The intelligent E-store: easy interactive product selection and comparison. In: Proceedings of the Seventh IEEE International Conference on E-Commerce Technology (CEC 2005), pp. 240–248. IEEE, Munich (2005)Google Scholar
  16. 16.
    Sacco, G.M., Tzitzikas, Y.: Dynamic Taxonomies and Faceted Search: Theory, Practice, and Experience. Springer, Heidelberg (2009) CrossRefGoogle Scholar
  17. 17.
    Sauro, J., Lewis, J.R.: Estimating Completion Rates from Small Samples Using Binomial Confidence Intervals: Comparisons and Recommendations. Proceedings of the Human Factors and Ergonomics Society 49th Annual Meeting (HFES 2005) 49(24), 2100–2104 (2005)CrossRefGoogle Scholar
  18. 18.
    Tan, P.N., Steinbach, M., Kumar, V.: Introduction to Data Mining, 1 edn. Addison-Wesley (2005)Google Scholar
  19. 19.
    Tunkelang, D.: Faceted Search. Morgan & Claypool (2009)Google Scholar
  20. 20.
    Tvarožek, M.: Exploratory Search in the Adaptive Social Semantic Web. Information Sciences and Technologies Bulletin of the ACM Slovakia 3(1), 42–51 (2011)Google Scholar
  21. 21.
    Vandic, D., van Dam, J.W., Frasincar, F.: Faceted Product Search Powered by the Semantic Web. Decision Support Systems 53(3), 425–437 (2012)CrossRefGoogle Scholar
  22. 22.
    Vandic, D., Frasincar, F., Kaymak, U.: Facet selection algorithms for web product search. In: Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013), pp. 2327–2332. ACM, San Francisco (2013)Google Scholar
  23. 23.
    Wei, B., Liu, J., Zheng, Q., Zhang, W., Fu, X., Feng, B.: A Survey of Faceted Search. Journal of Web Engineering 12(1), 41–64 (2013)Google Scholar
  24. 24.
    Yee, K.P., Searingen, K., Li, K., Hearst, M.A.: Faceted metadata for image search and browsing. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2003), pp. 401–408. ACM, Fort Lauderdale (2003)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Universitaet der Bundeswehr MunichNeubibergGermany

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