TY - CHAP
T1 - Attaining fast and successful searches in E-commerce environments
AU - Lin, Raz
AU - Kraus, Sarit
AU - Tew, Jeffrey
PY - 2003
Y1 - 2003
N2 - Current online stores suffer from a cardinal problem. There are too many products to offer, and customers find themselves lost due to the vast selection. As opposed to traditional stores, there is little or no guidance that helps the customers as they search. In this paper, we propose a new approach for searching in online stores. This approach is based on algorithms commonly used in recommendation systems, but which are rarely used for searches in online stores. We employ this approach for both keyword and browse searches, and present an implementation of this approach. We compared several search guide algorithms experimentally, and the experiments' results show that the suggested algorithms are applicable to the domain of online stores.
AB - Current online stores suffer from a cardinal problem. There are too many products to offer, and customers find themselves lost due to the vast selection. As opposed to traditional stores, there is little or no guidance that helps the customers as they search. In this paper, we propose a new approach for searching in online stores. This approach is based on algorithms commonly used in recommendation systems, but which are rarely used for searches in online stores. We employ this approach for both keyword and browse searches, and present an implementation of this approach. We compared several search guide algorithms experimentally, and the experiments' results show that the suggested algorithms are applicable to the domain of online stores.
UR - http://www.scopus.com/inward/record.url?scp=35248829571&partnerID=8YFLogxK
U2 - 10.1007/3-540-36618-0_9
DO - 10.1007/3-540-36618-0_9
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AN - SCOPUS:35248829571
SN - 3540012745
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 120
EP - 134
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Sebastiani, Fabrizio
PB - Springer Verlag
ER -