推荐系统
推荐系统(Recommendation Systems)是一种利用用户行为数据、偏好信息和物品特征,通过算法模型预测用户对物品的兴趣度,从而提供个性化推荐的技术。其核心目标是优化用户体验,提高用户满意度和平台黏性,同时增加业务转化率和收入。推荐系统广泛应用于电子商务、社交媒体、在线视频和音乐流媒体等领域,通过精准匹配用户需求与平台资源,实现高效的信息过滤和价值传递。
MovieLens 1M
SSE-PT
MovieLens 20M
HyperML
MovieLens 100K
GHRS
MovieLens 10M
scaled-CER
Amazon-Book
HSTU+MoL
Gowalla
NESCL
Netflix
H+Vamp Gated
Yelp2018
NESCL
Douban Monti
GLocal-K
ReDial
KERL
Douban
I-CFN
Million Song Dataset
EASE
Flixster Monti
IGMC
Amazon Beauty
ProxyRCA
Amazon Games
CARCA
YahooMusic Monti
MG-GAT
Flixster
TransCF
Amazon Fashion
SAERS
Epinions
DANSER
YahooMusic
GRALS
Amazon Men
CARCA Learnt + Con
Last.FM
Ekar*
Polyvore
Fashion GAE
Amazon-CDs
HGN
Amazon Product Data
TLSAN
Book-Crossing
KGNN-LS
DBbook2014
KTUP (soft)
Frappe
INN
WeChat
DANSER
Yelp
ConvNCF
Alibaba-iFashion
HAKG
Amazon-Beauty
LT-OCF
Amazon Books
Multi-Gradient Descent
Amazon C&A
Amazon-Electronics
Amazon-Health
Amazon-Movies
HetroFair
BeerAdvocate
CFM
Ciao
CiteULike
Declicious
TransCF
Delicious
Dianping-Food
KGNN-LS
Echonest
Epinions-Extend
Fashion-Similar
SR-PredAO(SGNN-HN)
GoodReads-Children
HGN
GoodReads-Comics
HGN
Last.FM-360k
MovieLens-Latest
RATE-CSE
Pinterest
PixelRec
SASRec
Steam
SASRec
Tradesy