CAJ | 학술논문

针对现有Web服务不能满足用户需求且在服务中存在忽略用户兴趣的问题，设计了服务发现和用户兴趣与Web服务匹配的方法，研究了基于兴趣度与QoS偏好的均衡服务组合推荐策略，实现了最优化服务组合的选择。对携程网上数据计算得到的实验结果表明，所提出的方法可以增加服务选择的准确度，使得服务组合推荐结果更符合用户的个性化需求。
침대현유Web복무불능만족용호수구차재복무중존재홀략용호흥취적문제，설계료복무발현화용호흥취여Web복무필배적방법，연구료기우흥취도여QoS편호적균형복무조합추천책략，실현료최우화복무조합적선택。대휴정망상수거계산득도적실험결과표명，소제출적방법가이증가복무선택적준학도，사득복무조합추천결과경부합용호적개성화수구。
The existing single Web service has been unable to meet the needs of customers and has ignored users ’ interests when discovering services .To solve the two problems mentioned above , the matching method of service instant discovery and user interest was designed and the strategy of a balanced composition of services recommendation was studied based on the degree of interest and QoS preference .Then the best selection of service composition was achieved .The test on Ctrip verify that the strategy is able to increase the accuracy of service selection and enable the result of service composition recommendation more adapted to users’ personalized needs .