Search个性化推荐returned 12 results

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1

Neural collaborative filtering recommendation model for de-exposure bias based on fused rewards

基于融合奖励的神经协同过滤去曝光偏差推荐模型

Li Peng

Li Xiaoshan

Zhu Xinru

neural collaborative filtering

linear upper confidence bound

exposure bias

personalized recommendation

No. 1, 2025 : 78-85 doi:10.19734/j.issn.1001-3695.2024.05.0184

2

Knowledge graph recommendation model with integrated meta-graph neighborhoods

融合元图邻域的知识图谱推荐模型

Zhang Bin

Hao Lixin

Zhang Guofang

recommendation model

knowledge graph

meta-graph

convolutional neural network

attention mechanism

No. 8, 2024 : 2412-2418 doi:10.19734/j.issn.1001-3695.2023.12.0610

3

node2vec-side fusion knowledge representation for personalized recommendation

面向个性化推荐的node2vec-side融合知识表示

Ni Wenkai

Du Yanhui

Ma Xingbang

Lyu Haibin

knowledge representation

recommender system

link prediction

knowledge graph

No. 2, 2024 : 361-367,374 doi:10.19734/j.issn.1001-3695.2023.06.0257

4

Bidirectional personalized recommendation algorithm based on customer preference

基于客户喜好的双向个性化推荐算法

Li Yang

Dai Yongqiang

recommendation of products

personalized analysis

potential customers recommendation

purchase network

No. 9, 2021 : 2701-2704,2709 doi:10.19734/j.issn.1001-3695.2021.01.0009

5

Survey of personalized recommendation study based on user browsing behavior

基于用户浏览行为的个性化推荐研究综述

Liu Huazhen

Wang Wei

Gu Renqian

Zhang Yihan

Hao Yaqi

personalized recommendation

collaborative filtering

neural network

interest

multi-source heterogeneous data

No. 8, 2021 : 2268-2277 doi:10.19734/j.issn.1001-3695.2020.10.0347

6

Personalized recommendation algorithm based on knowledge graph attention network

基于知识图注意网络的个性化推荐算法

Rong Pei

Su Fanjun

knowledge graph

graph attention network

attention mechanism

interpretability

No. 2, 2021 : 398-402 doi:10.19734/j.issn.1001-3695.2020.02.0015

7

Recommendation algorithm based on filling method and multi-weight similarity

改进填补法和多权重相似度相结合的推荐算法

Zou Yang

Wu Hecheng

Jiang Yunzhi

Zhao Yingding

recommendation algorithm

bi-graph correlation

social network similarity

personalized recommendation

No. 12, 2020 : 3578-3581,3598 doi:10.19734/j.issn.1001-3695.2019.09.0541

8

Research on random walk recommendation algorithm based on multi-weight similarity

基于多权重相似度的随机漫步推荐算法

Zou Yang

Wu Hecheng

Zhao Yingding

Jiang Yunzhi

recommendation algorithm

gravitation

random walk algorithm

personalized recommendation

No. 11, 2020 : 3267-3270,3296 doi:10.19734/j.issn.1001-3695.2019.08.0275

9

FP-Growth-based user temporal association control habits mining method for smart home

基于FP-Growth的智能家居用户时序关联操控习惯挖掘方法

Liang Tiankai

Zeng Bi

Liu Jianqi

smart home

behavior prediction

data mining

association analysis

personalized recommendation

No. 2, 2020 : 385-389 doi:10.19734/j.issn.1001-3695.2018.07.0527

10

User interest model construction and update for news recommendation

面向新闻推荐的用户兴趣模型构建与更新

Yuan Renjin

Chen Gang

Li Feng

personalized recommendation

vector space model(VSM)

user interest model

user interest drift

forgetting function

No. 12, 2019 : 3593-3596 doi:10.19734/j.issn.1001-3695.2018.05.0388

11

Improved method for personalized query citation recommendation

一种改进的个性化查询引文推荐方法

Li Fei

Zhang Hongming

Cai Xiaoyan

Liu Bin

Guo Lantian

multi-relation

word vector

query vector

random walk with restarts

personalized recommendation

No. 8, 2019 : 2289-2293 doi:10.19734/j.issn.1001-3695.2018.02.0086

12

Research on collaborative filtering algorithm based on slope-one algorithm to improve score matrix filling

基于slope-one算法改进评分矩阵填充的协同过滤算法研究

Xiang Xiaodong

Qiu Zixian

slope-one algorithm

data sparsity

collaborative filtering

personalized recommendation

matrix completion

movie recommendation

No. 4, 2019 : 1064-1067 doi:10.19734/j.issn.1001-3695.2017.12.0751