意见挖掘结合图分类器的图书个性化推荐系统

摘要

针对目标用户所感兴趣的图书具体特征,开发了一种基于意见挖掘技术结合图分类器的图书推荐系统.首先,基于图的分类器技术对图书条目进行分类;然后,挖掘出图书条目的评价信息,并根据评价内容判定评价的正反面;最后,结合两组技术实现图书的个性化推荐.通过实际案例的数据进行计算,以精确率和召回率评价依据进行综合评价,结果证明了提出的推荐系统的可行性和实用性.%In view of the specific features of target users interested in books,a book recommendation system is developed based on opinion mining technology.First of all,based on the figure of the classifier technology for classification of book entries;Then,excavated book entries of assessment information,and according to the positive and negative evaluation content determine evaluation;Finally,combining with two sets of techniques to realize personalized books recommend.Through the data of actual case is calculated to precision rate and recall rate evaluation on the basis of comprehensive evaluations the results prove the feasibility and practicability of the recommendation system is put forward.