A Multilayer Collaborative Filtering Recommendation Method in Electricity Market
Transaction price accurate recommendation is a hot issue for buyer and seller on bidding information services in Chinese electricity market, a novel multilayer collaborative filtering algorithm is proposed to solve the bidding prices accurate mining problem.A three-tier relationship model of user-item-attribute is described to accommodate the real electricity transaction on bidding price service mining and recommendation.The fuzzy evaluation method is presented to improve candidate items sets of similar neighbors, integrating user fuzzy preference by attributes into membership degree evaluation.And then, the similarity function is improved to determine better proportions in items Pearson coefficients.A case study is done to give an application example for electricity market.And the experiment is also implemented to prove that the model and the algorithm are efficient and robust for application value by performance of experiment results.
multilayer collaborative filtering fuzzy evaluation information service electricity market recommendation algorithm
Li Tao Yong Dai Ming-hai Jiao Chun-cheng Gao
State Grid Electric Power Research Institute Nari Group Corporation Nanjing, China School of Computer Science and Engineering Northeastern University Shenyang, China
国际会议
武汉
英文
51-55
2016-09-23（万方平台首次上网日期，不代表论文的发表时间）