Vague Conditions in Object Search

Teaching personnel



Targeted audience
  • Komedia Master
  • Angewandte Informatik Master
  • ISE Master
  • Technomathematik Master


Das Seminar beschäftigt sich mit vagen Bedingungen bei der Objektsuche, wie sie z.B. bie der Produktsuche in Online-Shops vorkommt.

This seminar focuses vague conditions in object search, like e.g. product search in online shops


Every participant is supposed to prepare a presentation of 40 minutes about a choosen topic from the list. A literature research for is mandatory, where relevant works will be choosen in consultation with the supervisor. The talks have to be given at the seminar. The literature is in english, but the talk can be given in german or in english. All participants are expected to take part in the discussions about the presentation topics.

After the presentation a composition should be written, which also needs to address all issues raised during the presentation days. The elaboration should not merely be a summary or translation of the underlying papers, but it should point out the advantages and disadvantages of the considered architecture or methods and classify it in the context.

Vortragsthemen und Betreuer

  1. Exploratory search Marchionini, G. (2006). Exploratory search: from finding to understanding. Communications of the ACM, 49(4), 41-49.
  2. Constraint-based recommendation Zanker, M., Jessenitschnig, M., Schmid, W.: Preference reasoning with soft constraints in constraint-based recommender systems. Constraints 15(4), 574-595 (2010)
    Felfernig, A., Burke, R.: Constraint-based recommender systems: technologies and research issues. In: 10th International Conference on Electronic Commerce, ICEC 08, pp. 1-10. ACM, 2008
  3. Preferences in Recommendation . Jannach, D.: Preference-based treatment of empty result sets in product finders and knowledge- based recommenders. In: 27th Annual Conference on Artificial Intelligence, KI 2004,
  4. Criticing items in recommendation Burke, R., Hammond, K., Young, B.: Knowledge-based navigation of complex information spaces. In: 13th National Conference on Artificial Intelligence, AAAI 96, pp. 462-468. AAAI Burke, R., Hammond, K., Young, B.: The FindMe Approach to Assisted Browsing. IEEE Intelligent Systems 12(4), 32-40 (1997)
  5. Query relaxation Godfrey, P.: Minimization in Cooperative Response to Failing Database Queries. International Journal of Cooperative Information Systems 6(2), 95-149 (1997) McSherry, D.: Retrieval Failure and Recovery in Recommender Systems. Artificial Intelligence Review 24(3-4), 319-338 (2005) Ricci, F., Mirzadeh, N., Bansal, M.: Supporting User Query Relaxation in a Recommender System. In: 5th International Conference in E-Commerce and Web-Technologies, EC-Web 2004, pp. 31-40. Zaragoza, Spain (2004)
  6. Preference elicitation Bridge, D.: Towards Conversational Recommender Systems: a Dialogue Grammar Approach. In: D.W. Aha (ed.) EWCBR-02 Workshop on Mixed Initiative CBR, pp. 9-22 (2002) Felfernig, A., Friedrich, G., Jannach, D., Zanker, M.: An integrated environment for the devel- opment of knowledge-based recommender applications. International Journal of Electronic Commerce 11(2), 11-34 (2007)
  7. Vague conditions Fuhr, N. (1990). A probabilistic framework for vague queries and imprecise information in da- tabases. In Proceedings of the 16th International Conference on Very Large Databases, pages 696-707, Los Altos, California. Morgan Kaufman.
  8. Preferences in DBMSStefanidis, Kostas and Koutrika, Georgia and Pitoura, Evaggelia: A Survey on Representation, Composition and Application of Preferences in Database Systems}, ACM Trans. Database Syst., 2011
  9. Faceted searchZHENG, B., ZHANG, W., and FENG, X. F. B. (2013). A survey of faceted search. Journal of Web engineering, 12(1\&2):041-064. Tunkelang, D. (2009). Faceted search. Synthesis Lectures on Information Concepts, Retrieval, and Services, 1(1):1-80.
  10. Mobile SearchCh. 8 in Russell-Rose/Tate: Designing the Search Experience
  11. Voice search Wang, Ye-Yi, et al. "An introduction to voice search." IEEE Signal Processing Magazine 25.3 (2008)
  12. Research data retrieval Gregory, Kathleen, et al. "Understanding data retrieval practices: a social informatics perspective." arXiv preprint arXiv:1801.04971 (2018).

Termine und Registration

Die Registrierung erfolgt über ILIAS. Dafür bitte folgende Schritte durchführen:

  • Shibboleth Login -> Anmeldung mit Uni-Kennung
  • Klicke: Magazin -> Information Systems -> 2018 WS Seminar Vague Conditions in Object Search
  • Button "Beitreten" anklicken

  • 01.10.2018 - 15.10.2016: Registration and selection of topic (per Mail an Dr. Aker)
  • 16.10.2018: Introduction to scientific working (10:00 - 11:30 LF 226)
  • 12.11.2018: Relevant papers
  • 3.12.2018: Theses of the presentation
  • 17.12.2018: Structure
  • 21.01.2018: Presentation slides
  • End of semester -ish: Block seminar
  • Two weeks later: Written report

Relevante Folien