1 |
McAuley, J., R. Pandey, and J. Leskovec (2015), "Inferring Networks of Substitutable and Complementary Products", In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.785-794.
|
2 |
Mudambi, S.M. and D. Schuff (2010), "What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.com", MIS Quarterly, vol.34(1), pp.185-200.
DOI
|
3 |
Pan, Y., and J. Q. Zhang (2011) "Born unequal: a study of the helpfulness of user-generated product reviews", Journal of Retailing, vol.87(4), pp.598-612.
DOI
|
4 |
Wan, Y. (2015), The Matthew Effect in Social Commerce, Electronic Markets, pp.1-12.
|
5 |
Yin, G., L. Wei, W. Xu, and M. Chen (2014), "Exploring Heuristic Cues for Consumer Perceptions of Online Reviews Helpfulness: The Case of Yelp. com.", PACIS 2014 Proceedings, 52.
|
6 |
Baek, H., J. Ahn, and Y. Choi (2012), "Helpfulness of Online Consumer Revers: Reader's Objectives and Review Cues", International Journal of Electronic Commerce, vol.17 (2), pp.99-126.
DOI
|
7 |
Choi, J.-W., and H.-J. Lee, "The Effects of Customer Product Review on Social Presence in Personalized Recommender Systems", Journal of Intelligence and Information Systems, Vol. 17, No. 3 (2011), 115-130.
|
8 |
Cao, Q., D., W. J., and Gan, Q. W (2011). "Exploring Determinants of Voting for the 'Helpfulness' of Online User Reviews: A Text Mining Approach," Decision Support Systems, vol.50 (2), pp.511-521.
DOI
|
9 |
Chevalier, J. A. & D. Mayzlin, (2003), "The Effect of Word of Mouth on Sales: Online Book Reviews", Journal of Marketing Research, vol.43(3), pp.345-354.
DOI
|
10 |
Cho, S.-H., M.Y. Yi (2014), "Business Implications of the Factors that Determine Online Review Helpfulness", Entrue Journal of Information Technology, vol.13(1), pp.29-40.
|
11 |
Forman, C., A. Ghose, B. Wiesenfeld (2008), "Examining the Relationship between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets", Information Systems Research, vol.19(3), pp.291-313.
DOI
|
12 |
Kim, Y., and M. Song, "A Study on Analyzing Sentiments on Movie Reviews by Multi-Level Sentiment Classifier", Journal of Intelligence and Information Systems, Vol. 22, No. 3 (2016), 71-89.
DOI
|
13 |
Ghose, A. and P.G. Ipeirotis (2011), "Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics", IEEE Transactions on Knowledge and Data Engineering, vol.23 (10), pp.1498-1512.
DOI
|
14 |
Hong, Won Eui, M.Y. Yi (2015), "Helpfulness in Unhelpfulness: A Study of the Flip Side of the Coin on Review Helpfulness", KAIST MS. thesis
|
15 |
Hyunmi Baek, J. H. Ahn, S. W. Ha (2011), "Identifying Factors Affecting Helpfulness of Online Reviews: The Moderating Role of Product Price", The Journal of Society for e-Business Studies, vol.16(3), pp.93-112.
|
16 |
Lee, S.J. Lee, J. Y. Choeh, J. H. Choi (2014), "The Determinant Factors Affecting Economic Impact, Helpfulness, and Helpfulness Votes of Online", Journal of IT Service, vol.13(1), pp.43-55.
DOI
|
17 |
Korfiatis, N., E. Garcia-Bariocanal, and S. Sanchez-Alonso (2012), "Evaluating Content Quality and Helpfulness of Online Product Reviews: The Interplay of Review Helpfulness vs. Review Content", Electronic Commerce Research and Applications, vol.11(3), pp.205-217.
DOI
|
18 |
Lee, G.N, Y.J. Won, C.H. Cho, G.H Lee, E.A. Na, H.S. Hwang and M.J. Shin, 2010 Survey on the Internet Usage, Seoul: Korea Internet & Security Agency, 2010.
|
19 |
Lee, H. G., H. Kwak (2013), "Investigation of Factors Affecting the Effects of Online Consumer Reviews", Informatization Policy, vol.20(3), pp.3-17.
|
20 |
Lee, M., and H. J. Lee, "Increasing Accuracy of Classifying Useful Reviews by Removing Neutral Terms", Journal of Intelligence and Information Systems, Vol. 22, No. 3 (2016), 129-142.
DOI
|
21 |
Mahony, M. P., & B. B. Smyth (2010), A Classification-Based Review Recommender", Knowledge-Based Systems, vol.23(4), pp.323 -329.
DOI
|
22 |
McAuley and Leskovec2013] Julian McAuley and Jure Leskovec. 2013. Hidden factors and hidden topics: Understanding rating dimensions with review text. In Proceedings of the 7th ACM Conference on Recommender Systems, RecSys' 13, pp.165-172.
|