公开(公告)号：US20100257131A1

公开(公告)日：2010-10-07

申请号：US12298188

申请日：2007-12-28

申请人： Kun-Oh Kim ,  kwang-Sun Choi ,  Yong-Il Jeong ,  Sang-Bum Ha ,  Ho-Jin Lee

发明人： Kun-Oh Kim ,  kwang-Sun Choi ,  Yong-Il Jeong ,  Sang-Bum Ha ,  Ho-Jin Lee

IPC分类号： G06N5/02

CPC分类号： G06Q30/02 ,  G06Q30/0631

摘要： The present invention relates to a content recommendation method in which pieces of information collected over an IP Multimedia Subsystem (IMS) network are analyzed through data mining, a semantic pattern is identified from the information and described based on ontology, the characteristics of content to be offered are recorded in ontology and language morphological pattern, and a recommendation filter in terms of various viewpoints and methods is operated in an integrated recommendation framework, thus enabling content recommendation suitable for various contexts to be performed.The method includes the steps of receiving user information, creating personal preference information based on the user information, deciding a recommendation strategy based on the preference information for content, combining recommendation functions using the recommendation strategy and the content information, personalizing recommendation results with respect to the combination, and providing the personalized content information.Furthermore, the method for recommending content with context awareness according to the present invention has an advantage in that it can offer more efficient and accurate content to mobile terminal users as a mobile communication network is expanded into an IMS basis and opened and therefore the types and number of content accessible by mobile terminals as well as mobile phones increase abruptly. Furthermore, the method for recommending content with context awareness according to the present invention is advantageous in that it can analogize the life pattern of a mobile terminal user, etc. based on the user's current context information and offers content matching the inferred life pattern at the right time and place.

摘要翻译： 本发明涉及一种内容推荐方法，其中通过数据挖掘分析通过IP多媒体子系统（IMS）网络收集的信息，从信息中识别语义模式并基于本体描述内容的特征 提供的记录在本体和语言形态模式中，并且在综合推荐框架中操作各种观点和方法的推荐过滤器，从而能够执行适合于各种上下文的内容推荐。 该方法包括以下步骤：接收用户信息，基于用户信息创建个人偏好信息，基于内容的偏好信息确定推荐策略，使用推荐策略组合推荐功能和内容信息，将关于 组合，并提供个性化内容信息。 此外，根据本发明的用于推荐具有上下文感知的内容的方法具有的优点在于，当移动通信网络扩展到IMS基础并且打开时，它可以向移动终端用户提供更有效和准确的内容，因此， 移动终端和移动电话可访问的内容数量突然增加。 此外，根据本发明的用于推荐具有上下文意识的内容的方法的优点在于，其可以基于用户的当前上下文信息来类比移动终端用户的生活方式等，并且提供与所推断的生活方式匹配的内容 正确的时间和地点。