摘要
随着智能移动终端和普适计算技术的发展,移动信息推荐已成为研究热点。由于移动推荐具有情境敏感性,使得情境语义模型的构建和使用成为有效实现移动推荐的关键。文章以移动商务餐饮推荐服务为背景,探索面向移动推荐的情境语义建模和推理机制,设计构建了包含上层本体和领域本体的两层情境语义本体模型,并研究了基于情境语义的移动推荐系统,该系统能依据情境本体中的概念和语义关系,自动生成推荐规则,并通过规则推理产生推荐结果。通过系统原型的开发和模拟运行实验,证明本文提出的方法能有效提高移动信息推荐的准确性。
With the development of intelligent mobile terminal and pervasive computing technology,mobile information recommendation has become research focus.Due to the context sensitive of mobile recommendation,the construction and application of contextual semantics modeling plays a key role in the effective implementation of mobile recommendation.Based on the background of mobile business catering recommendation service,this paper explores the contextual semantics modeling and reasoning mechanism for mobile recommendation.Then,the paper designs and constructs the contextual semantics ontology model,which includes upper ontology and domain ontology.The paper researches on the mobile recommendation system based on contextual semantics,which can automatically generate recommendation rules according to the concepts and semantic relations in the contextual ontology,and produce recommendation results by rule-based reasoning.The experiment of the system development and simulation running proves that the proposed method in the paper can effectively improve the precision of mobile information recommendation.
出处
《情报理论与实践》
CSSCI
北大核心
2016年第2期82-88,共7页
Information Studies:Theory & Application
基金
国家自然科学基金面上项目"基于动态数据挖掘的物流信息智能分析研究"(项目编号:71373197)
国家社会科学基金青年项目"移动网络环境下情景敏感的个性化知识推荐机制研究"(项目编号:11CTQ020)
广东省自然科学基金项目"移动泛在网络环境下基于情境语义的O2O实时推荐机制研究"(项目编号:2015A030313499)的成果
关键词
移动推荐
情境
语义建模
规则推理
情境本体
mobile recommendation
context
semantics modeling
rule-based reasoning
contextual ontology
