Autoeval: An evaluation methodology for evaluating query suggestions using query logs

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6611 LNCS, Issue , 2011, Pages 605-610

  Albakour, M Dyaa ^a   Kruschwitz, Udo ^a   Nanas, Nikolaos ^b   Kim, Yunhyong ^c   Song, Dawei ^c   Fasli, Maria ^a   De Roeck, Anne ^d  

^a UNIVERSITY OF ESSEX   (United Kingdom)

^b INSTITUTE OF HUMAN PERFORMANCE AND REHABILITATION   (Greece)

^c ROBERT GORDON UNIVERSITY   (United Kingdom)

^d OPEN UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; ADAPTIVE SYSTEMS; INFORMATION RETRIEVAL; SEARCH ENGINES;

ADAPTIVE SEARCH; EVALUATION FRAMEWORK; EVALUATION METHODOLOGIES; INTERACTIVE SEARCH; QUERY MODIFICATION; QUERY SUGGESTION; USER EVALUATIONS; USER INTERACTION;

QUALITY CONTROL;

EID: 84973247809     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-20161-5_60     Document Type: Conference Paper

References (12)

1. Boldi, P., Bonchi, F., Castillo, C., Donato, D., Vigna, S.: Query suggestions using query-flow graphs. In: Proceedings of WSCD 2009, Barcelona, pp. 56–63 (2009)
2. Craswell, N., Szummer, M.: Random Walks on the Click Graph. In: Proceedings of SIGIR 2007, Amsterdam, pp. 239–246 (2007)
3. Dignum, S., Kruschwitz, U., Fasli, M., Kim, Y., Song, D., Cervino, U., De Roeck, A.: Incorporating Seasonality into Search Suggestions Derived from Intranet Query Logs. In: Proceedings of WI 2010, Toronto, pp. 425–430 (2010)
4. Fonseca, B.M., Golgher, P.B., de Moura, E.S., Ziviani, N.: Using association rules to discover search engines related queries. In: Proceedings of the First Latin American Web Congress, Santiago, pp. 66–71 (2003)
5. Joachims, T.: Evaluating retrieval performance using clickthrough data. In: Franke, J., Nakhaeizadeh, G., Renz, I. (eds.) Text Mining, pp. 79–96. Springer, Heidelberg (2003)
6. Joachims, T., Granka, L., Pan, B., Hembrooke, H., Gay, G.: Accurately interpreting clickthrough data as implicit feedback. In: Proceedings of SIGIR 2005, Salvador, pp. 154–161 (2005)
7. Kruschwitz, U.: Intelligent Document Retrieval: Exploiting Markup Structure. The Information Retrieval Series, vol. 17. Springer, Heidelberg (2005)
8. Nanas, N., Kruschwitz, U., Albakour, M.-D., Fasli, M., Song, D., Kim, Y., Cervino, U., De Roeck, A.: A Methodology for Simulated Experiments in Interactive Search. In: Proceedings of the SIGIR 2010 SimInt Workshop, Geneva, pp. 23–24 (2010)
9. Nanas, N., Roeck, A.: Autopoiesis, the immune system, and adaptive information filtering. Natural Computing: an International Journal 8(2), 387–427 (2009)
10. Sanderson, M., Croft, B.: Deriving concept hierarchies from text. In: Proceedings of SIGIR 1999, Berkeley, CA, pp. 206–213 (1999)
11. Soboroff, I., Nicholas, C., Cahan, P.: Ranking retrieval systems without relevance judgments. In: Proceedings of SIGIR 2001, New Orleans, pp. 66–73 (2001)
12. Zhang, J., Kamps, J.: A search log-based approach to evaluation. In: Lalmas, M., Jose, J., Rauber, A., Sebastiani, F., Frommholz, I. (eds.) ECDL 2010. LNCS, vol. 6273, pp. 248–260. Springer, Heidelberg (2010)