活动理论视角下移动设备情境感知信息推荐服务研究——基于情境本体建模与规则推理
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摘要
[目的/意义]研究基于情境本体建模与规则推理的移动设备情境感知信息推荐服务,解决传统信息推荐中情境语义信息利用问题,提升信息推荐服务质量。[方法/过程]通过信息推荐活动分析,构建移动设备情境感知信息推荐服务系统框架,为理解情境感知与信息推荐过程提供新视角。基于情境本体建模与规则推理的信息推荐方法,将自定义规则与情境语义信息进行匹配计算,实现个性化信息推荐。[结果/结论]电影推荐服务实验结果证明活动理论视角下情境感知信息推荐服务系统框架具有良好的可拓展性,信息推荐方法能充分利用情境信息,适用于多种信息推荐服务,能为移动设备信息推荐服务研究提供新思路。
[Purpose/Significance]Since the traditional information recommendation cannot make full use of the contextual semantic information,this paper studies the context-aware information recommendation service based on context ontology modeling and rule-based reasoning,and improves the quality of information recommendation service.[Method/Process]Through the activity analysis,the framework of context-aware information recommendation service system is constructed,which provides a new perspective for understanding context awareness and information recommendation process. The method of information recommendation is based on contextual ontology modeling and rule-based reasoning. Through the matching calculation between the rules and context semantic information,personalized information recommendation is realized.[Result/Conclusion]The results of the movie recommendation experiment show that the framework of information recommendation system from the perspective of activity theory has good scalability. The information recommendation method proposed can make full use of the contextual information and can be applied to a variety of information recommendations,which provides new ideas for information recommendation on mobile devices.
[Purpose/Significance]Since the traditional information recommendation cannot make full use of the contextual semantic information,this paper studies the context-aware information recommendation service based on context ontology modeling and rule-based reasoning,and improves the quality of information recommendation service.[Method/Process]Through the activity analysis,the framework of context-aware information recommendation service system is constructed,which provides a new perspective for understanding context awareness and information recommendation process. The method of information recommendation is based on contextual ontology modeling and rule-based reasoning. Through the matching calculation between the rules and context semantic information,personalized information recommendation is realized.[Result/Conclusion]The results of the movie recommendation experiment show that the framework of information recommendation system from the perspective of activity theory has good scalability. The information recommendation method proposed can make full use of the contextual information and can be applied to a variety of information recommendations,which provides new ideas for information recommendation on mobile devices.
引文
[1]艾丹祥,张玉峰,刘高勇.面向移动商务餐饮推荐的情境语义建模与规则推理[J].情报理论与实践,2016,39(2):82-88.
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[13]黄荣怀,余亮.活动理论视角下协作学习活动的基本要素[J].远程教育杂志,2014,32(1):48-55.
[14]Dey A K.Understanding and using context[J].Personal and Ubiquitous Computing,2001,5(1):4-7.
[15]孙海民,刘鹏飞.以活动理论审视学习活动[J].中国电化教育,2015,29(7):29-35.
[16]Perera C,Zaslavsky A,Christen P,et al.Context aware computing for the internet of things:A survey[J].IEEE Communications Surveys&Tutorials,2013,16(1):414-454.
[17]李书宁.用户情境敏感数字信息服务的概念模型[J].图书情报工作,2011,55(7):45-49.
[18]Schilit B,Adams N,Want R.Context-aware computing applications[C]//First International Workshop on Mobile Computing Systems and Applications.IEEEXplore,1994:85-90.
[19]李枫林,曹天天.基于本体的情景建模评价研究[J].图书馆学研究,2016(14):89-93.
[20]Wang X H,Zhang D Q,Gu T,et al.Ontology based context modeling and reasoning using OWL[C]//Proceedings of the second IEEE annual conference on pervasive computing and communications workshops.Washington DC:IEEE Computer Society,2004:18.
[21]向阳.基于Jena的本体构建方法研究[J].计算机工程,2007,33(14):59-61.
[2]Strang T,Linnhoffpopien C,Frank K.CoOL:A Context Ontology Language to Enable Contextual Interoperability[C]//International Conference on Distributed Applications and Interoperable Systems.CiteSeer,2003:236-247.
[3]周朴雄,陶梦莹.移动网络环境下情境敏感的个性化信息推荐系统研究[J].图书情报工作,2012,56(19):80-84.
[4]Schilit B,Theimer M.Disseminating active map information to mobile hosts[J].IEEE Network,1994,8(5):22-32.
[5]Adomavicius G,Tuzhilin A.Context-aware recommender system[M].New York:Springor,2010:217-253.
[6]Hofer T,Schwinger W,Pichler M,et al.Context-Awareness on Mobile Devices-the Hydrogen Approach[C]//Hawaii International Conference on System Sciences.Hawaii:IEEE Computer Society,2003:292.
[7]Oku K,Nakajima S,Miyazaki J,et al.Context-aware SVM for context-dependent information recommendation[J].2006:109-109.
[8]Colombo-Mendoza L O,Valencia-García R,RodríguezGonzález A,et al.RecomMetz:A context-aware knowledgebased mobile recommender system for movie showtimes[J].Expert Systems with Applications,2015,42(3):1202-1222.
[9]Lo C C,Chen C H,Cheng D Y,et al.Ubiquitous healthcare service system with context-awareness capability:Design and implementation[J].Expert Systems with Applications An International Journal,2011,38(4):4416-4436.
[10]李枫林,李娜.基于情境的医药信息服务本体建模及规则推理研究[J].情报理论与实践,2016,39(5):120-124.
[11]Kim S W,Park S H,Lee J B,et al.Sensible appliances:Applying context-awareness to appliance design[J].Personal and Ubiquitous Computing,2004,8(3):184-191.
[12]王知津,韩正彪,周鹏.活动理论视角下的情报学研究及转向模型[J].图书情报知识,2012(1):4-14.
[13]黄荣怀,余亮.活动理论视角下协作学习活动的基本要素[J].远程教育杂志,2014,32(1):48-55.
[14]Dey A K.Understanding and using context[J].Personal and Ubiquitous Computing,2001,5(1):4-7.
[15]孙海民,刘鹏飞.以活动理论审视学习活动[J].中国电化教育,2015,29(7):29-35.
[16]Perera C,Zaslavsky A,Christen P,et al.Context aware computing for the internet of things:A survey[J].IEEE Communications Surveys&Tutorials,2013,16(1):414-454.
[17]李书宁.用户情境敏感数字信息服务的概念模型[J].图书情报工作,2011,55(7):45-49.
[18]Schilit B,Adams N,Want R.Context-aware computing applications[C]//First International Workshop on Mobile Computing Systems and Applications.IEEEXplore,1994:85-90.
[19]李枫林,曹天天.基于本体的情景建模评价研究[J].图书馆学研究,2016(14):89-93.
[20]Wang X H,Zhang D Q,Gu T,et al.Ontology based context modeling and reasoning using OWL[C]//Proceedings of the second IEEE annual conference on pervasive computing and communications workshops.Washington DC:IEEE Computer Society,2004:18.
[21]向阳.基于Jena的本体构建方法研究[J].计算机工程,2007,33(14):59-61.