Abstract
Due to the intangible assets have been concerned by enterprise continuously year by year, the importance of patent management also has increased. The patent search is the initial process for the patent management. The engineer of the enterprise search and collect the patents from the related patent databases, to study them for drawing out the R&D policy. However, this work causes great human-cost consuming and time-exhausted. It is not easy for users to grasp the core technology key phrases and correct search method. Therefore, this research develops an intelligent patent search and recommendation system, which provides a basic searching engine and management modules to analyze the behavior records of users and conclude their operating habits. This research collects relative patents filtering by patents’ bibliography data. Afterward, this research clusters the users and finds each user’s neighbors based on collaborative filtering mechanism. When user searches, the proposed system recommends user some appropriate patents which are inferred by his/her neighbors’ operation records of different patents to help user get more potential information. When user is drawing out their R&D policy or doing relative patent analysis, the recommend module can give user more comprehensive and useful information, helping them reduce the R&D cost. Finally, the research uses Copper Indium Gallium Selenide (CIGS) thin-film solar cell as the case study. We discuss the industry researchers or analysts’ patent management operating mode by collecting and analyzing their behavior records and provide the service for patent recommendation. The case study shows and verifies the practical value of the proposed methodology and system.