Development of a recommender system based on navigational and behavioral patterns of customers in e-commerce sites Export

@article{citeulike:2949889, abstract = {In this article, a novel CF (collaborative filtering)-based recommender system is developed for e-commerce sites. Unlike the conventional approach in which only binary purchase data are used, the proposed approach analyzes the data captured from the navigational and behavioral patterns of customers, estimates the preference levels of a customer for the products which are clicked but not purchased, and CF is conducted using the preference levels for making recommendations. This also compares with the existing works on clickstream data analysis in which the navigational and behavioral patterns of customers are analyzed for simple relationships with the target variable. The effectiveness of the proposed approach is assessed using an experimental e-commerce site. It is found among other things that the proposed approach outperforms the conventional approach in almost all cases considered. The proposed approach is versatile and can be applied to a variety of e-commerce sites as long as the navigational and behavioral patterns of customers can be captured.}, author = {Kim, Y. and Yum, B. and Song, J. and Kim, S.}, citeulike-article-id = {2949889}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.eswa.2004.10.017}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0957417404001368}, citeulike-linkout-2 = {http://www.sciencedirect.com/science/article/B6V03-4DVT5GS-1/1/3980064956e4589a58cce76febce3eef}, doi = {10.1016/j.eswa.2004.10.017}, issn = {09574174}, journal = {Expert Systems with Applications}, keywords = {e-commerce, recommender}, month = {February}, number = {2}, pages = {381--393}, posted-at = {2008-07-02 05:18:10}, priority = {2}, title = {Development of a recommender system based on navigational and behavioral patterns of customers in e-commerce sites}, url = {http://dx.doi.org/10.1016/j.eswa.2004.10.017}, volume = {28}, year = {2005} }

TY - JOUR ID - citeulike:2949889 L3 - citeulike-article-id:2949889 N2 - In this article, a novel CF (collaborative filtering)-based recommender system is developed for e-commerce sites. Unlike the conventional approach in which only binary purchase data are used, the proposed approach analyzes the data captured from the navigational and behavioral patterns of customers, estimates the preference levels of a customer for the products which are clicked but not purchased, and CF is conducted using the preference levels for making recommendations. This also compares with the existing works on clickstream data analysis in which the navigational and behavioral patterns of customers are analyzed for simple relationships with the target variable. The effectiveness of the proposed approach is assessed using an experimental e-commerce site. It is found among other things that the proposed approach outperforms the conventional approach in almost all cases considered. The proposed approach is versatile and can be applied to a variety of e-commerce sites as long as the navigational and behavioral patterns of customers can be captured. IS - 2 JF - Expert Systems with Applications SN - 09574174 EP - 393 TI - Development of a recommender system based on navigational and behavioral patterns of customers in e-commerce sites VL - 28 SP - 381 KW - e-commerce KW - recommender AU - Kim, Y AU - Yum, B AU - Song, J AU - Kim, S PY - 2005/02// UR - http://dx.doi.org/10.1016/j.eswa.2004.10.017 ER -