CAJ | 학술논문

针对科技研发人员从事创新活动而需要频繁检索专利的需求,以及当今专利检索智能程度不高的现状,提出一种专利智能推荐算法并开发了相应的软件.算法的输入是用户输入的检索词,输出结果中不仅包括检索系统输出的专利还包括一批推荐的专利.本算法首先实现专利间的关联,进而计算专利关联度,并根据关联度对推荐专利进行排序,构成一个有序的推荐专利集合.实验表明推荐的专利与检索词之间的确存在关联.
침대과기연발인원종사창신활동이수요빈번검색전리적수구,이급당금전리검색지능정도불고적현상,제출일충전리지능추천산법병개발료상응적연건.산법적수입시용호수입적검색사,수출결과중불부포괄검색계통수출적전리환포괄일비추천적전리.본산법수선실현전리간적관련,진이계산전리관련도,병근거관련도대추천전리진행배서,구성일개유서적추천전리집합.실험표명추천적전리여검색사지간적학존재관련.
For the demand of scientific and technological researchers engaged in innovative activities which need frequently retrieving patents from database, and the intelligent degree of the current patent databases is not enough high for retrieving, this paper proposed an intelligent recommendation algorithm and introduced the development of the corresponding software. Inputted with the retrieval words, the algorithm outputs the results including not only patents which the retrieval system provides but also a group of recommended patents. The algorithm first explores the correlation among the patents, and then calculates the correlation degree among them, finally sorts all the recommended patents according to the correlation degree in order to form an orderly recommended patents set. Experimental results illustrates that there indeed exits correlation between the recommended patents and the retrieval word.