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Queries Without Clicks: Evaluating Retrieval Effectiveness Based on User Feedback

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Queries Without Clicks: Evaluating Retrieval Effectiveness Based on User Feedback. / Koumpouri, Athanasia; Simaki, Vasiliki.
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval. New York: ACM, 2012. p. 1133-1134.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

Harvard

Koumpouri, A & Simaki, V 2012, Queries Without Clicks: Evaluating Retrieval Effectiveness Based on User Feedback. in SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval. ACM, New York, pp. 1133-1134. https://doi.org/10.1145/2348283.2348505

APA

Koumpouri, A., & Simaki, V. (2012). Queries Without Clicks: Evaluating Retrieval Effectiveness Based on User Feedback. In SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval (pp. 1133-1134). ACM. https://doi.org/10.1145/2348283.2348505

Vancouver

Koumpouri A, Simaki V. Queries Without Clicks: Evaluating Retrieval Effectiveness Based on User Feedback. In SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval. New York: ACM. 2012. p. 1133-1134 doi: 10.1145/2348283.2348505

Author

Koumpouri, Athanasia ; Simaki, Vasiliki. / Queries Without Clicks : Evaluating Retrieval Effectiveness Based on User Feedback. SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval. New York : ACM, 2012. pp. 1133-1134

Bibtex

@inbook{a6d625f0137145f090e2d7a222559185,
title = "Queries Without Clicks: Evaluating Retrieval Effectiveness Based on User Feedback",
abstract = "Until recently, the lack of user activity on search results was perceived as a sign of user dissatisfaction from retrieval performance. However, recent studies have reported that some queries might not be followed by clicks to the content of the retrieved results, because the search task can be satisfied in the list of retrieved results the user views without the need to click through them. In this paper, we propose a method for evaluating user satisfaction from the results of searches that are not followed by clickthrough activity to the retrieved results. We found that there is a strong association between some implicit measures of user activity and user's explicit satisfaction judgments. Moreover, we developed a predictive model of user satisfaction based on implicit measures, achieving accuracy up to 86%.",
author = "Athanasia Koumpouri and Vasiliki Simaki",
year = "2012",
month = aug,
doi = "10.1145/2348283.2348505",
language = "English",
isbn = "9781450314725",
pages = "1133--1134",
booktitle = "SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval",
publisher = "ACM",

}

RIS

TY - CHAP

T1 - Queries Without Clicks

T2 - Evaluating Retrieval Effectiveness Based on User Feedback

AU - Koumpouri, Athanasia

AU - Simaki, Vasiliki

PY - 2012/8

Y1 - 2012/8

N2 - Until recently, the lack of user activity on search results was perceived as a sign of user dissatisfaction from retrieval performance. However, recent studies have reported that some queries might not be followed by clicks to the content of the retrieved results, because the search task can be satisfied in the list of retrieved results the user views without the need to click through them. In this paper, we propose a method for evaluating user satisfaction from the results of searches that are not followed by clickthrough activity to the retrieved results. We found that there is a strong association between some implicit measures of user activity and user's explicit satisfaction judgments. Moreover, we developed a predictive model of user satisfaction based on implicit measures, achieving accuracy up to 86%.

AB - Until recently, the lack of user activity on search results was perceived as a sign of user dissatisfaction from retrieval performance. However, recent studies have reported that some queries might not be followed by clicks to the content of the retrieved results, because the search task can be satisfied in the list of retrieved results the user views without the need to click through them. In this paper, we propose a method for evaluating user satisfaction from the results of searches that are not followed by clickthrough activity to the retrieved results. We found that there is a strong association between some implicit measures of user activity and user's explicit satisfaction judgments. Moreover, we developed a predictive model of user satisfaction based on implicit measures, achieving accuracy up to 86%.

U2 - 10.1145/2348283.2348505

DO - 10.1145/2348283.2348505

M3 - Chapter (peer-reviewed)

SN - 9781450314725

SP - 1133

EP - 1134

BT - SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval

PB - ACM

CY - New York

ER -