New product recommendation system based on innovative customer data analysis and collaborative filtering

基于创新的客户数据分析和协同过滤的新产品推荐系统

• 批准号: 491438-2015
• 负责人: Zhang, XiaoPing
• 金额: $ 1.82万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=586907
• 关键词: New; product; recommendation; system; based

DataESP Inc. is a high tech company that provides cloud based business analysis solutions to small and media enterprises to streamlining their operations and optimizing their bottom line. We intend to develop a new collaborative filtering based product recommendation system that incorporates additional data sources related to customer demographic and behavior information to obtain better recommendation than the current recommendation system using only product sales transaction data. The developed analytics and solutions will be directly integrated into the current operational solution used by DataESP. The knowledge base established during this project would show the world that Canada is a leader in data analytics and insight driven strategy.

DataESP Inc.是一家高科技公司，为中小型企业提供基于云的业务分析解决方案，以简化其运营并优化其利润。我们打算开发一个新的基于协同过滤的产品推荐系统，它结合了与客户人口统计和行为信息相关的额外数据源，以获得比目前仅使用产品销售交易数据的推荐系统更好的推荐。开发的分析和解决方案将直接集成到DataESP使用的当前运营解决方案中。在该项目期间建立的知识库将向世界展示加拿大在数据分析和洞察力驱动的战略方面处于领先地位。