Recommender systems in e-commerce

@inproceedings{citeulike:783517, abstract = {Recommender systems are changing from novelties used by a few E-commerce sites, to serious business tools that are re-shaping the world of E-commerce. Many of the largest commerce Web sites are already using recommender systems to help their customers find products to purchase. A recommender system learns from a customer and recommends products that she will find most valuable from among the available products. In this paper we present an explanation of how recommender systems help E-commerce...}, author = {Schafer, Ben J. and Konstan, Joseph A. and Riedi, John }, booktitle = {ACM Conference on Electronic Commerce}, citeulike-article-id = {783517}, keywords = {data\_mining, e\_commerce, recommender}, pages = {158--166}, posted-at = {2008-07-21 14:53:50}, priority = {5}, title = {Recommender systems in e-commerce}, url = {http://citeseer.ist.psu.edu/benschafer99recommender.html}, year = {1999} }

TY - CONF ID - citeulike:783517 L3 - citeulike-article-id:783517 TI - Recommender systems in e-commerce T2 - ACM Conference on Electronic Commerce SP - 158 EP - 166 N2 - Recommender systems are changing from novelties used by a few E-commerce sites, to serious business tools that are re-shaping the world of E-commerce. Many of the largest commerce Web sites are already using recommender systems to help their customers find products to purchase. A recommender system learns from a customer and recommends products that she will find most valuable from among the available products. In this paper we present an explanation of how recommender systems help E-commerce... KW - data_mining KW - e_commerce KW - recommender AU - Schafer, Ben AU - Konstan, Joseph AU - Riedi, John PY - 1999/// UR - http://citeseer.ist.psu.edu/benschafer99recommender.html ER -