Intelligent Evaluation Rules for Learning Objects

With the popularity of social media, sharing and retrieving information on website, especially those user-generated content, all of this information have become an emerging phenomenon. At the same time, it brought an open issue of information management and discovery. In this research, a common service framework for learning resource retrieval was proposed. Two major contributions, ranking and recommendation, are included in this framework. This ranking process reveals the value of a specific object by taking its implicit information, such as authority, citation, and time series issue, into consideration. In addition, the personalized attributes are also concerned. The above mentioned attributes will be recorded as a profile and will be categorized into several groups for further use. And we can utilize the personalization factor to produce recommendation results.