Attaining fast and successful searches in E-commerce environments

Raz Lin, S. Kraus, Jeffrey Tew

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.
Original languageAmerican English
Title of host publicationEuropean Conference on Information Retrieval
EditorsFabrizio Sebastiani
PublisherSpringer Berlin Heidelberg
StatePublished - 2003

Bibliographical note

Place of conference:Italy


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