Mining Relationship Between User Purposes and Product Features Towards Purpose-Oriented Recommendation

To help in decision making, buyers in online shopping tend to go through each product features, functionalities, etc. provided by vendors and reviews made by other users, which is not an effective way when confronting loaded of information and especially if the buyers are beginner users who have limited experience and knowledge. To deal with these problems, we propose a framework of purpose-oriented recommendation which present a ranking of products suitable for a designated user purpose by identifying important product features to fulfill the purpose from user reviews. As technical foundation for realizing the framework, we propose several methods to mine relation between user purposes and product features from the online reviews. The experimental results employing reviews of digital cameras in Amazon.com show the effectiveness and stability of proposed methods with acceptable rate of precision and recall.