CAJ | 학술논문

移动网络的发展使O2 O电商模式的线下业务对象推荐受到关注。首先，针对O2 O推荐的情境敏感性，探讨适用于推荐的情境语义建模方法，并以移动餐饮推荐为应用背景，设计情境本体的两层结构模型并研究其实例化。其次，提出基于情境本体的推荐规则生成方法和基于规则推理的推荐算法。最终，融合各方法设计开发O2 O移动推荐系统并进行运行实验，对推理效率和推荐准确性进行跟踪评估。实验结果表明新方法和系统能更好适用于个性化O2 O推荐，具有可行性。
이동망락적발전사O2 O전상모식적선하업무대상추천수도관주。수선，침대O2 O추천적정경민감성，탐토괄용우추천적정경어의건모방법，병이이동찬음추천위응용배경，설계정경본체적량층결구모형병연구기실례화。기차，제출기우정경본체적추천규칙생성방법화기우규칙추리적추천산법。최종，융합각방법설계개발O2 O이동추천계통병진행운행실험，대추리효솔화추천준학성진행근종평고。실험결과표명신방법화계통능경호괄용우개성화O2 O추천，구유가행성。
With the development of mobile network, the recommendation of offline business objects in O2O mobile e-commerce pattern has gained much concern. Firstly, concerning the existence of context sensitivity in O2O mobile recommendation, the contextual semantics modeling method suitable for the recommendation is discussed, and taking the mobile dining recommendation as the application back-ground, a two-layer contextual ontology model is designed and its instantiation is studied. Secondly, an automatic rule generation method based on contextual ontology and a recommendation algorithm based on rule inference are proposed. Finally, by fusing all the methods, the O2O mobile recommendation system is designed and developed to carry on running experiments in which the inference efficiency and the recommendation accuracy are evaluated. The result indicates that the new methods and system are feasible and more suitable for person-alized O2O recommendation.