摘要
用户偏好变化分析是改善用户策略、提升个性化服务的重要指标。为满足用户需求,需要对用户偏好以及未来用户行为的发展作深入分析。基于此,文章提出分析图书馆用户偏好变化的多指标决策方法,构建影响用户偏好的满意度指标聚类集合,并确定各评价指标的权重。基于多指标决策框架和方法的分析结果,主要集中在评估用户偏好的潜在发展趋势,并帮助图书馆决策者追踪用户偏好的改变,以及根据这些偏好改进信息服务。
It is of great importance to analyze the changes of user preferences so as to improve user strategy and enhance personalized service. Making in-depth analysis of user preferences and future changes of user behaviors contributes to meeting user's need. Therefore, this paper proposes multi- criteria decision making methods for analyzing the changes of library user preferences; constructs the clustering of satisfaction indexes affecting user preference; and assigns certain weight ior each index. The frameworks and methods of multi-criteria decision making are applied to evaluate future development of potential user preference; to help library decision-makers to trace the changes of user preferences; and to improve library information service according to such changes.
出处
《图书馆论坛》
CSSCI
北大核心
2014年第2期22-26,共5页
Library Tribune
关键词
多指标决策方法
图书馆用户
用户偏好用户满意度
multi-criteria decision making method
library user
user preference
user satisfaction