WANG Yonggui, ZHANG Jian. Group Recommendation Method Integrating Probability Matrix Decomposition and ER Rules[J]. Computer Engineering and Applications, 2023, 59(5): 252-261.
[1] LIU X C,SU X,MA J M,et al.Information filtering based on eliminating redundant diffusion and compensating balance[J].International Journal of Modern Physics B,2019,33(13):1950129.
[2] 许晓明,梅红岩,于恒,等.基于偏好融合的群组推荐方法研究综述[J].小型微型计算机系统,2020,41(12):2500-2508.
XU X M,MEI H Y,YU H,et al.Review of group recommendation methods based on preference fusion[J].Journal of Chinese Computer Systems,2020,41(12):2500-2508.
[3] SINGH M,MEHROTRA M.Impact of biclustering on the performance of biclustering based collaborative filtering[J].Expert Systems with Applications,2018,113(12):443-456.
[4] ZHANG H F,ZHOU P,JIAN Y M.Collaborative filtering recommendation algorithm based on class correlation distance[J].Recent Advances in Computer Science and Communications,2021,14(3):887-894.
[5] 陆航,师智斌,刘忠宝.融合用户兴趣和评分差异的协同过滤推荐算法[J].计算机工程与应用,2020,56(7):24-29.
LU H,SHI Z B,LIU Z B.Collaboration filtering recommendation algorithm based on user interest and ratings difference[J].Computer Engineering and Applications,2020,56(7):24-29.
[6] 田保军,杨浒昀,房建东.融合信任和基于概率矩阵分解的推荐算法[J].计算机应用,2019,39(10):2834-2840.
TIAN B J,YANG H J,FANG J D.Recommendation algorithm based on probability matrix factorization and fusing trust[J].Journal of Computer Applications,2019,39(10):2834-2840.
[7] 杨丽,王时绘,朱博.基于ranking的深度张量分解群组推荐算法[J].计算机应用研究,2020,37(5):1311-1316.
YANG L,WANG S H,ZHU B.Ranking based hybrid deep tensor factorization model for group recommendation[J].Application Research of Computers,2020,37(5):1311-1316.
[8] 毛宇佳,刘学军,徐新艳,等.基于子组与社会行为的缩小群组推荐列表方法[J].计算机科学,2019,46(2):202-209.
MAO Y J,LIU X J,XU X Y,et al.Method based on sub-group and social behavior for narrowing recommended list for groups[J].Computer Science,2019,46(2):202-209.
[9] DING Z,QIN Z,WANG Q X,et al.Random group recommendation model based on fuzzy clustering[J].Journal of Electronic Science and Technology,2020,18(2):169-178.
[10] 李晓鹏.基于模型融合的群组推荐多层集成框架[D].南京:南京邮电大学,2020.
LI X P.Multi-layer ensemble framework for group recommendation based on model fusion[D].Nanjing:Nanjing University of Posts and Telecommunications,2020.
[11] DU Y,MENG X,ZHANG Y,et al.GERF:a group event recommendation framework based on learning-to-rank[J].IEEE Transactions on Knowledge and Data Engineering,2020,32(4):674-687.
[12] LIU Y,YIN M,ZHOU X.A collaborative filtering algorithm with intragroup divergence for poi group recommendation[J].Applied Sciences,2021,11(12):5416.
[13] 叶柏龙,徐静静,严笋.基于评分和项目特征的群组推荐方法[J].计算机应用研究,2017,34(4):1032-1035.
YE B L,XU J J,YAN S.Group recommendation method based on ratings and item features[J].Application Research of Computers,2017,34(4):1032-1035.
[14] 杨金劳,刘虹明.群组信息优化矩阵分解的群组推荐方法[J].机械设计与制造,2020(4):286-289.
YANG J L,LIU H M.Group recommendation method based on group information improved matrix decomposition[J].Machinery Design and Manufacture,2020(4):286-289.
[15] 尹青山.基于群组信息改进矩阵分解的群组推荐方法[J].计算机应用与软件,2020,37(9):328-333.
YIN Q S.Group recommendation method based on improved matrix decomposition of group information[J].Computer Applications and Software,2020,37(9):328-333.
[16] GUO Z,ZENG W,WANG H,et al.An enhanced group recommender system by exploiting preference relation[J].IEEE Access,2019,7:24852-24864.
[17] WU X,WANG D,CAO W,et al.A genetic-algorithm support vector machine and D-S evidence theory based fault diagnostic model for transmission line[J].IEEE Transactions on Power Systems,2019,34(6):4186-4194.
[18] 柯小路,马荔瑶,李子懿,等.证据推理规则的性质研究及方法修正[J].信息与控制,2016,45(2):41-46.
KE X L,MA L Y,LI Z Y,et al.Property research and approach modification of evidential reasoning rule[J].Information and Control,2016,45(2):41-46.
[19] GUO J,ZHU Y,LI A,et al.A social influence approach for group user modeling in group recommendation systems[J].IEEE Intelligent Systems,2016,31(5):40-48.
[20] TANG S W,ZHOU Z J,HU C H,et al.Perturbation analysis of evidential reasoning rule[J].IEEE Transactions on Systems,Man,and Cybernetics:Systems,2019,51(8):4895-4910.
[21] 王英博,孙永荻.基于GNN的矩阵分解推荐算法[J].计算机工程与应用,2021,57(19):129-134.
WANG Y B,SUN Y D.GNN-based matrix factorization recommendation algorithm[J].Computer Engineering and Applications,2021,57(19):129-134.
[22] LU Z Y,LI H,MAMOULIS N,et al.HBGG:a hierarchical Bayesian geographical model for group recommendation[C]//Proceedings of 17th SIAM International Conference on Data Mining,2017:372-380.
[23] JU C H,WANG J,XU C H.A novel application recommendation method combining social relationship and trust relationship for future internet of things[J].Multimedia Tools and Applications,2019,78(21):29867-29880.
[24] ORTEGA F,HERNANDO A,BOBADILLA J,et al.Recommending items to group of users using matrix factorization based collaborative filtering[J].Information Sciences,2016:313-324.
[25] CASTRO J,LU J,ZHANG G,et al.Opinion dynamics-based group recommender systems[J].IEEE Transactions on Systems,Man,and Cybernetics:Systems,2018,48(12):2394-2406.
[26] PUJAHARI A,SISODIA D S.Preference relation based collaborative filtering with graph aggregation for group recommender system[J].Applied Intelligence,2021,51(1):1-15.
[27] 陶永才,曹朝阳,石磊,等.一种结合时间因子聚类的群组兴趣点推荐模型[J].小型微型计算机系统,2020,41(2):356-360.
TAO Y C,CAO C Y,SHI L,et al.Group POI recommendation model based on time factor clustering[J].Journal of Chinese Computer Systems,2020,41(2):356-360.
[28] 王永贵,林佳敏,何佳玉.融合领导者影响与隐式信任度的群组推荐方法[J].计算机工程与应用,2022,58(9):98-106.
WANG Y G,LIN J M,HE J Y.Group recommendation method combining leader influence and implicit trust metrics[J].Computer Engineering and Applications,2022,58(9):98-106.
[29] 吴彦文,宁彬,李斌.一种弥补群组成员差异的可解释性组推荐方法[J].小型微型计算机系统,2021,42(5):905-977.
WU Y W,NING B,LI B.Interpretable group recommendation method to make up for differences among group members[J].Journal of Chinese Computer Systems,2021,42(5):905-977.