摘要：
针对电子商务个性化推荐问题的特点，引入知识工程的树状表示法，将商品推荐中的三要素转化成描述树进行表达，建立基于Prolog语言的个性化推荐知识库模型。该模型可以根据顾客浏览商品先后次序求解，并与数据库动态地交互数据，实现在线购物的个性化营销。该模型相对独立，通过数据库接口共享电子商务系统数据，能够适应不同结构的电子商务系统。
关键词:
电子商务,
Prolog语言,
知识库,
商品推荐
Abstract:
Aiming at the properties of E-commerce marketing, a knowledge-based tree-like representation is introduced to present the three factors of commodity recommendation model. The model is developed with Prolog language. It can interact data with database and individually recommend to a user based on what this user reviews in current step. The model is relatively independent. It shares the data with E-commerce system through database as interface, and can be widely adapted to different E-commerce systems.
Key words:
E-commerce,
Prolog language,
knowledge base,
commodity recommendation
中图分类号:
汲业, 陈燕, 屈莉莉, 张琳. 基于Prolog语言的商品推荐知识库模型[J]. 计算机工程, 2010, 36(22): 10-12.
JI Ye, CHEN Yan, JUE Chi-Chi, ZHANG Lin. Commodity Recommendation Knowledge Base Model Based on Prolog Language[J]. Computer Engineering, 2010, 36(22): 10-12.