工业控制计算机
工業控製計算機
공업공제계산궤
INDUSTRY CONTROL COMPUTER
2014年
9期
116-118
,共3页
智慧旅游%加权FP-growth算法%数据挖掘
智慧旅遊%加權FP-growth算法%數據挖掘
지혜여유%가권FP-growth산법%수거알굴
InteI igent Tourism%Weighted FP-growth AIgorithm%data mining
针对智慧旅游中景点推荐方面的不足,给出一种智能推荐的实现方案,通过对用户交互操作行为数据的分析,获取用户对浏览景点的兴趣度和认同度,在此基础上,运用 AWMS-FPgrowth(多最小支持度加权 FP-growth)算法挖掘出潜在的模式,形成规则,作为景点推荐的依据,与传统推荐方式相比,系统在准确性和新颖性上有很大的提高。
針對智慧旅遊中景點推薦方麵的不足,給齣一種智能推薦的實現方案,通過對用戶交互操作行為數據的分析,穫取用戶對瀏覽景點的興趣度和認同度,在此基礎上,運用 AWMS-FPgrowth(多最小支持度加權 FP-growth)算法挖掘齣潛在的模式,形成規則,作為景點推薦的依據,與傳統推薦方式相比,繫統在準確性和新穎性上有很大的提高。
침대지혜여유중경점추천방면적불족,급출일충지능추천적실현방안,통과대용호교호조작행위수거적분석,획취용호대류람경점적흥취도화인동도,재차기출상,운용 AWMS-FPgrowth(다최소지지도가권 FP-growth)산법알굴출잠재적모식,형성규칙,작위경점추천적의거,여전통추천방식상비,계통재준학성화신영성상유흔대적제고。
For Iack of wisdom tourist attractions recommending,this paper presents an inteI igent recommendation impIementation. Through the anaIysis of user interaction behavior data,this paper get users' degree of interest and degree of recognition in browsed attractions.On this basis,the use of AWMS-FPgrowth(muItipIe minimum supports weighted FP-growth) aIgorithm to dig out potentiaI modes.These modes are recommended as the basis for attractions. Compared with the traditionaI recom-mendations,the system has greatIy improved at accuracy and noveIty.