Configuring and Monitoring Recommender System as a Service

被引：0

作者：

Ben-Shimon, David ^{[1
]}

Tsikinovsky, Alexander ^{[1
]}

Friedmann, Michael ^{[2
]}

Hoerle, Johannes ^{[2
]}

机构：

[1] YooChoose Labs Ltd, Hagoren 6, IL-84965 Omer, Israel

[2] YooChoose GmbH, D-50968 Cologne, Germany

来源：

PROCEEDINGS OF THE 8TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'14) | 2014年

关键词：

Recommender System as a Service; Configuration; Management; Graphic User Interface;

D O I：

10.1145/2645710.2645713

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Many small and medium e-commerce retailers and publishers use recommender systems (RS) to personalize the website content. Many of them do not have an on premise solution for doing that, but rather contact a company that delivers the RS as a service to their website. The service is then responsible for collecting and storing the data, building recommendation models, and answering recommendation requests. Once the integration to such a service is done, the e-commerce retailer still wish to have some control on the service. Control that allows him to configure the recommendation models, turn off/on the service, apply filters on recommendations, define fallback models and more. In this demo we provide an overview of a real backend system which enables to a typical website owner exactly these capabilities. Capabilities for controlling the RS service in terms of configuration, management and monitoring.

引用

页码：363 / 364

页数：2