An Adaptive Framework for Personalized Recommendation Algorithms

被引：0
|
作者：
Tang, Jianchang [1 ]
Tang, Xinhuai [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Software Engn, Shanghai, Peoples R China
来源：
2014 INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTERNET OF THINGS (CCIOT) | 2014年
关键词：
personalized recommendation algorithm; adaptive framework; artificial neural networks;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Different personalized recommendation algorithms are suitable for different scenarios. In this paper, we use artificial neural networks to implement an adaptive framework. When we add different recommendation algorithms into it and train it with the data from a given scenario, it can calculate the weight of each algorithm, choose suitable algorithms and give a more accurate prediction rating.
引用
收藏
页码：105 / 108
页数：4
相关论文
共 50 条
  • [41] An Industrial Framework for Personalized Serendipitous Recommendation in E-commerce
    Wang, Zongyi
    Zou, Yanyan
    Hou, Linfang
    Dai, Anyu
    Qiao, Nan
    Zou, Luobao
    Ma, Mian
    Ding, Zhuoye
    Xu, Sulong
    PROCEEDINGS OF THE 17TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2023, 2023, : 1015 - 1018
  • [42] Personalized Recommendation of SOLAP queries: Theoretical framework and Experimental Evaluation
    Aissi, Saida
    Gouider, Mohamed Salah
    Sboui, Tarek
    Ben Said, Lamjed
    30TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, VOLS I AND II, 2015, : 1008 - 1014
  • [43] EpicRec: Towards Practical Differentially Private Framework for Personalized Recommendation
    Shen, Yilin
    Jin, Hongxia
    CCS'16: PROCEEDINGS OF THE 2016 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY, 2016, : 180 - 191
  • [44] Multimodal fusion framework based on knowledge graph for personalized recommendation
    Wang, Jingjing
    Xie, Haoran
    Zhang, Siyu
    Qin, S. Joe
    Tao, Xiaohuiui
    Wang, Fu Lee
    Xu, Xiaoliang
    EXPERT SYSTEMS WITH APPLICATIONS, 2025, 268
  • [45] A personalized stock recommendation system using adaptive user modeling
    Chalidabhongse, Thanarat H.
    Kaensar, Chayaporn
    2006 INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES,VOLS 1-3, 2006, : 513 - +
  • [46] Architecture of an Adaptive Personalized Learning Environment (APLE) for Content Recommendation
    Raj, Nisha S.
    Renumol, V. G.
    PROCEEDINGS OF 2018 2ND INTERNATIONAL CONFERENCE ON DIGITAL TECHNOLOGY IN EDUCATION (ICDTE 2018), 2018, : 17 - 22
  • [47] AwARE: a framework for adaptive recommendation of educational resources
    Guilherme Medeiros Machado
    Vinicius Maran
    Gabriel Machado Lunardi
    Leandro Krug Wives
    José Palazzo Moreira de Oliveira
    Computing, 2021, 103 : 675 - 705
  • [48] Compare two community-based personalized information recommendation algorithms
    Wen, Yuan
    Liu, Yun
    Zhang, Zhen-Jiang
    Xiong, Fei
    Cao, Wei
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2014, 398 : 199 - 209
  • [49] Context-Aware Recommendation Algorithms for the PERCEPOLIS Personalized Education Platform
    Bahmani, Amir
    Sedigh, Sahra
    Hurson, Ali R.
    2011 FRONTIERS IN EDUCATION CONFERENCE (FIE), 2011,
  • [50] AwARE: a framework for adaptive recommendation of educational resources
    Machado, Guilherme Medeiros
    Maran, Vinicius
    Lunardi, Gabriel Machado
    Wives, Leandro Krug
    Moreira de Oliveira, Jose Palazzo
    COMPUTING, 2021, 103 (04) : 675 - 705
12345