{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T04:10:55Z","timestamp":1654143055620},"reference-count":17,"publisher":"IGI Global","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,10,1]]},"abstract":"<p>To eliminate mismatches between the intentions of questioners and respondents of Question and Answer (Q&amp;A) sites, the authors have clarified the characteristics of the question and answer statements. It has been shown that the impression of the statements could be captured by nine factors, and the factor scores could be estimated from the feature values of the statements. Here, the objective scores of answer statements are provided. So far the authors have tried to estimate the objective scores of answer statements through multiple regression analysis. They are estimated from the factor scores estimated by using multiple regression formulas already obtained. As a result, with the consideration of natural logarithm, objective scores of the statements on love counseling &amp; human relationships could be estimated good. The estimation accuracy of the statements on Yahoo! Auction and PC, however, is required to be improved. Therefore, this paper tries to improve the estimation accuracy of objective scores of Yahoo! Auction and PC. Here, the authors adopt Steven's power law as well as Fechner's law as new explanatory variables. In considering multicollinearity, the authors selected as many explanatory variables as possible. As a result, objective scores of the statements of PC are estimated fairly good.<\/p>","DOI":"10.4018\/ijsi.2013100102","type":"journal-article","created":{"date-parts":[[2014,4,17]],"date-time":"2014-04-17T15:02:06Z","timestamp":1397746926000},"page":"16-30","source":"Crossref","is-referenced-by-count":0,"title":["Improvement of Estimation of Objective Scores of Answer Statements Posted at Q&amp;A Sites"],"prefix":"10.4018","volume":"1","author":[{"given":"Yuya","family":"Yokoyama","sequence":"first","affiliation":[{"name":"Graduate School of Information Science, Kyoto Institute of Technology, Kyoto, Japan"}]},{"given":"Teruhisa","family":"Hochin","sequence":"additional","affiliation":[{"name":"Graduate School of Information Science, Kyoto Institute of Technology, Kyoto, Japan"}]},{"given":"Hiroki","family":"Nomiya","sequence":"additional","affiliation":[{"name":"Graduate School of Information Science, Kyoto Institute of Technology, Kyoto, Japan"}]}],"member":"2432","reference":[{"key":"ijsi.2013100102-0","doi-asserted-by":"crossref","unstructured":"Agichtein, E., Castillo, C., Donato, D., Gionis, A., & Mishne, G. (2008). Finding high-quality content in social media. In Proc. of the Int\u2019l Conf. on Web Search and Web Data Mining (WSDM08) (pp. 183\u2013194).","DOI":"10.1145\/1341531.1341557"},{"key":"ijsi.2013100102-1","unstructured":"Amano, S. & Kondoh, T., NTT database series. (2003). Nihongo-no goitokusei (Lexical properties of Japanese), (Vol. 1). Tokyo, Japan: Sanseido."},{"key":"ijsi.2013100102-2","doi-asserted-by":"crossref","unstructured":"Blooma, M. J., Chua, A. Y. K., & Goh, D. H. L. (2008). A predictive framework for retrieving the best answer. In Proc. of 2008 ACM Symposium on Applied Computing (SAC08) (pp. 1107\u20131111).","DOI":"10.1145\/1363686.1363944"},{"key":"ijsi.2013100102-3","doi-asserted-by":"crossref","unstructured":"Kim, S., Oh, J. S., & Oh, S. (2007). Best-answer selection criteria in a social Q&A site from the user-oriented relevance perspective. 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Nihongo-no goitokusei: Lexical properties of Japanese (Vol. 3) (Word Imageability). Tokyo, Japan: Sanseido."},{"key":"ijsi.2013100102-7","unstructured":"Sakai., et al. (2010). Overview of the NTCIR-8 community QA pilot task (Part II): System evaluation. In NTCIR-8 Proceedings (pp.433-457). Retrieved from http:\/\/research.nii.ac.jp\/ntcir\/workshop\/OnlineProceedings8\/NTCIR\/02-NTCIR8-OV-CQA-SakaiT.pdf"},{"key":"ijsi.2013100102-8","unstructured":"Sakuma, N., Ijuin, M., Fushimi, T., Tatsumi, I., Tanaka, M., Amano, S., & Kondoh, T., NTT database series. (2008). Nihongo-no goitokusei (Lexical properties of Japanese), (Vol. 3) (Word Imageability). Tokyo, Japan: Sanseido."},{"key":"ijsi.2013100102-9","unstructured":"Stevens' power law. (n.d.). Retrieved July 18, 2013, from http:\/\/en.wikipedia.org\/wiki\/Stevens%27_power_law"},{"key":"ijsi.2013100102-10","unstructured":"Text seer manual. (n.d.). Retrieved February 18, 2013, from http:\/\/www.valdes.titech.ac.jp\/~t_kawa\/ts\/manual.html"},{"key":"ijsi.2013100102-11","doi-asserted-by":"crossref","unstructured":"Wang, X. J., Tu, X., Feng, D., & Zhang, L. (2009). Ranking community answers by modeling question\u2013answer relationships via analogical reasoning. In Proc. of 32nd Int\u2019l ACM SIGIR Conf. (pp. 179\u2013186).","DOI":"10.1145\/1571941.1571974"},{"key":"ijsi.2013100102-12","unstructured":"Weber-Fechner_law. (n.d.). Retrieved July 18, 2013, from http:\/\/en.wikipedia.org\/wiki\/Weber-Fechner_law"},{"key":"ijsi.2013100102-13","unstructured":"Yahoo. Chiebukuro. (n.d.). Retrieved February 18, 2013, from http:\/\/chiebukuro.yahoo.co.jp\/"},{"key":"ijsi.2013100102-14","unstructured":"Yahoo. Chiebukuro. (n.d.). Already solved Q&A. 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