An Interaction Model for Literature Recommendation Based on Cognitive Principle

摘要：

　　Current mainstream search engines cannot achieve high accuracy,viz.the users cannot find their desired resources even when clicking on lots of returned links.One of the main reasons is the semantic gap between computers and humans.Computers cannot totally understand human natural language,while humans can hardly understand the binary machine language so that computers may be unable to catch the real search intention.This paper proposes a new model for literature search and recommendation that makes use of the complementary abilities of both cognitive principles and interactions.The goal is to improve the recommendation precision and enable the human-computer interaction to be as smooth as the human-human interaction.

关键词： interaction cognition model

作者: Xue Chen Chao Wu Yinghu Gao

作者单位: School of Computer Engineering and Science, Shanghai University 200072, Shanghai, China

会议类型: 国际会议

会议名称: 第8届语义知识与网络国际会议(2012 Eighth International Conference on Semanties,Knowledge and Grids )(SKG2012)

会议地点: 北京

会议语种:英文

页码: 157-164

在线出版日期: 2012-10-22（万方平台首次上网日期，不代表论文的发表时间）