CAJ | 학술논문

　　针对用户对索引项重要程度无区分以及普通计算平台承载能力受限提出基于云计算的改进余弦向量度量法索引项权值算法(ICVMMITWCC算法)，该算法通过从包含全部索引项的文本集中计算索引项平均权值对经典的余弦向量度量法索引项权值算法(CCVMMITW算法)修改求得相对权值；通过实验对比ICVMMITWCC算法与CCVMMITW算法下文本的排序效率，说明ICVMMITWCC算法更贴近用户查询需求。
　　침대용호대색인항중요정도무구분이급보통계산평태승재능력수한제출기우운계산적개진여현향량도량법색인항권치산법(ICVMMITWCC산법)，해산법통과종포함전부색인항적문본집중계산색인항평균권치대경전적여현향량도량법색인항권치산법(CCVMMITW산법)수개구득상대권치；통과실험대비ICVMMITWCC산법여CCVMMITW산법하문본적배서효솔，설명ICVMMITWCC산법경첩근용호사순수구。
Aiming the importance degree of indexing terms hadn't distinguish to users and the common computing platform carrying capacity limited proposed the improved cosine vector measuring method indexing term weight algorithm based on cloud computing (ICVMMITWCC algorithm), the algorithm corrected the classic cosine vector measuring method indexing term weight algorithm (CCVMMITW algorithm) to acquire relative weight by computing indexing term average weight from texts set that included all indexing terms;comparing the efficiency of sorting of texts in ICVMMITWCC algorithm and CCVMMITW algorithm by experiment, indicating ICVMMITWCC algorithm is closer to the query requirement of users.