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Prediction of Query Satisfaction Based on CQA-Oriented Browsing Behaviors

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Information Science and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 339))

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Abstract

Browsing satisfaction with community-based websites has been studied mainly based on webpage content. In this paper, we exploratively analyze the factors affecting the browsing behaviors of client users to predict the query satisfaction level in a Community-based Question Answering (CQA) website. The experiment’s results show that different categories of information are affected by different factors, and explain that considering the factors of browsing behaviors could improve the prediction accuracy of query satisfaction.

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References

  1. Ohshima, H., Jatowt, A., Oyama, S., Nakamura, S., Tanaka, K.: Towards Improving Web Search: A Large-Scale Exploratory Study of Selected Aspects of User Search Behavior. Proceedings of the 10th International Conference on Web Information Systems Engineering, pp. 379-386 (2009)

    Google Scholar 

  2. Guo, J., Gao, C., Xu, N., Lu, G., Han, H.: Analyzing Query Trails and Satisfaction based on Browsing Behaviors. Proceedings of the 10th Web Information System and Application Conference, pp. 107-112 (2013)

    Google Scholar 

  3. Sim, J. and Wright, C. C.: The Kappa Statistic in Reliability Studies: Use, Interpretation, and Sample Size Requirements. Physical Therapy 85(3), pp. 257-268 (2005)

    Google Scholar 

  4. Chelaru, S., Altingovde, I.S., Siersdorfer, S., Nejdl, W.: Analyzing, Detecting, and Exploiting Sentiment in Web Queries. ACM Transactions on the Web 8(1): 6, (2013)

    Google Scholar 

  5. Ravi Kumar and Andrew Tomkins. A Characterization of Online Browsing Behavior, Proceedings of the 19th International Conference on World Wide Web, pp. 561-570, 2010.

    Google Scholar 

  6. Zhicong Cheng, Bin Gao and Tie-Yan Liu. Actively Predicting Diverse Search Intent from User Browsing Behaviors, Proceedings of the 19th International Conference on World Wide Web, pp. 221-230, 2010.

    Google Scholar 

  7. Aikawa, N., Sakai, T., Yamana, H.: Community QA Question Classification: Is the Asker Looking for Subjective Answers or Not? IPSJ Transactions on Databases Vol. 4(2), pp. 1-9 (2011)

    Google Scholar 

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Correspondence to Hao Han .

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Guo, J., Han, H., Gao, C., Nakayama, T., Oyama, K. (2015). Prediction of Query Satisfaction Based on CQA-Oriented Browsing Behaviors. In: Kim, K. (eds) Information Science and Applications. Lecture Notes in Electrical Engineering, vol 339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46578-3_120

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  • DOI: https://doi.org/10.1007/978-3-662-46578-3_120

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46577-6

  • Online ISBN: 978-3-662-46578-3

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