SlideServe
Télécharger Obtenir Pro
Menu
Accueil Pro
Préférences
ApparenceLight Aide et commentaires
© SlideServe · v2026

Unleashing the Power of Modern Searcher Feedback Techniques

ovidio avatar
ovidio
27 diapositives · 390 Views · Aug 10, 2014

Explore past and present relevance feedback techniques while challenging common misconceptions of user involvement in providing feedback. Discover a future for explicit feedback through innovative and adaptive approaches.

#unleashing the power of modern searcher feedback techniques #unleashing the power of modern searcher feedback techniques ppt #powerpoint #presentation
Unleashing the Power of Modern Searcher Feedback Techniques - slide 1
01 / 27Unleashing the Power of Modern Searcher Feedback Techniques
1 / 17

Télécharger la présentation

Unleashing the Power of Modern Searcher Feedback Techniques
Une image / un lien ci-dessous est fourni (tel quel) pour télécharger la présentation

Politique de téléchargement : le contenu du site vous est fourni TEL QUEL pour votre information et votre usage personnel ; il ne peut être vendu, concédé sous licence ni partagé sur d’autres sites sans l’accord de son auteur.Le contenu vous est fourni TEL QUEL, pour votre information et votre usage personnel uniquement. Téléchargez la présentation en cliquant sur ce lien. Lors du téléchargement, si vous ne parvenez pas à télécharger une présentation, l’éditeur a peut-être supprimé le fichier de son serveur.Pendant le téléchargement, si vous ne parvenez pas à obtenir une présentation, le fichier a peut-être été supprimé par l’éditeur.

F I N

Plus de contenu associé

Transcription de la présentation

  1. Relevance Feedback for the Modern Searcher: Elicitation Techniques Revisited Diane KellySchool of Information and Library ScienceUniversity of North Carolina at Chapel Hill, USA

  2. Once upon a time … Explicit-O-Saurus

  3. User-Model-O-Saurus

  4. Implicit-O-Saurus

  5. The Story of Explicit-O-Saurus • Review (some) past and present use of explicit feedback techniques • Relevance feedback (short-term) (document and term) • User modeling (long-term) • Present typical explanations for why these techniques are not used by searchers • Argue that these explanations are no longer adequate

  6. 1950s: Luhn’s Selective Dissemination of Information Schultz, C. K. (1968). H.P. Luhn: Pioneer of Information Science (p.32). London, UK: American Documentation Institute.

  7. 1960s: Salton, Rocchio, and Ide Ide, E. (1967). User interaction with an automated information retrieval system. In G. Salton (Ed.) Information Storage and Retrieval: Scientific Report No. ISR-12.

  8. 1970s: Oddy’sThomas Oddy, R. N. (1977). Information retrieval through man-machine dialogue. Journal of Documentation, 33(1), 1-14.

  9. 1980s: User Modeling Rich, E. (1983). Users are individuals: Individualizing user models. International Journal of Human-Computer Studies, 51, 323-338. “While the term ‘user model’ emphasizes the information about the person, it is obvious that a great deal of situational, task, or environmental information may be encoded in the model.” Allen, R. B. (1990). User models: Theory, method, and practice. International Journal of Man-Machine Studies, 32, 511-543.

  10. 1980s: Intelligent IR Croft, W. B., & Thompson, R. H. (1987). I3R: A new approach to the design of document retrieval systems. Journal of the American Society for Information Science, 38, 389-404.

  11. 1990s: Agents Maes, P. (1994). Agents that reduce work and information overload. CACM, 37(7), 30-40.

  12. SYSTEM USER

  13. 1990s: And Some Visualization Cat-a-Cone: An Interactive Hearst, M. A. & Karadi, C. (1997). Cat-a-Cone: An Interactive Interface for Specifying Searches and Viewing Retrieval Results using a Large Category Hierarchy. Proc. of SIGIR ‘97.

  14. 1990s: And more relevance feedback Belkin, N. J., Cool, C., Kelly, D., Lin, S.-J., Park, S.Y., Perez-Carballo, J., & Sikora, C. (2001). Iterative exploration, design and evaluation of support for query reformulation in interactive information retrieval. Information Processing & Management 37(3), 404-434.

  15. 2000s: Implicit Feedback • Click-through • Dwell time • Scrolling • Queries But explicit feedback is not really dead …

  16. Date Viewed Online: October 12, 2010

  17. http://www.movielens.org/rateMore and http://www.grouplens.org/ Dates Viewed Online: October 12 and December 06, 2010

  18. Date Viewed Online: November 11, 2010

  19. Date Viewed Online: November 11, 2010

  20. Date Viewed Online: November 11, 2010

  21. Date Viewed Online: December 06, 2010

  22. http://hunch.com/ Date Viewed Online: October 12, 2010

  23. What Caused the Supposed Demise of Explicit Feedback? • Users are unwilling to put forth the effort required to provide feedback • Users don’t have the additional cognitive resources to engage in explicit feedback

  24. REASON 1: Users are unwilling to put forth the effort required to provide feedback. REALLY? http://www.pewinternet.org/ http://www.visualeconomics.com/how-the-world-spends-its-time-online_2010-06-16/

  25. REASON 2: Users don’t have the additional cognitive resources to engage in explicit feedback. • Well, maybe back then …

  26. A Future for Explicit Feedback • Better questions • Better measures Focused on information-seeking support not information search support. • More creative • More engaging • More adaptive “While the term ‘user model’ emphasizes the information about the person, it is obvious that a great deal of situational, task, or environmental information may be encoded in the model.” (Allen, 1990)

  27. A Future for Explicit Feedback