Skip to main navigation
Skip to search
Skip to main content
EdUHK Research Repository Home
About the Repository
Link opens in a new tab
Search content at EdUHK Research Repository
Home
Researchers
Research Units
Projects
Research Outputs
Prizes and Awards
KT Activities
Recommendation using DMF-based fine tuning method
Zhiyuan ZHANG
, Yun LIU
,
Guandong XU
, Guixun LUO
Offices of the President (P)
Research output
:
Contribution to journal
›
Articles
›
peer-review
7
Link opens in a new tab
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Recommendation using DMF-based fine tuning method'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Matrix Factorization
100%
Tuning Methods
100%
Recommender Systems
66%
Training Matrix
66%
Squared Error
66%
Regularization Parameter
66%
Copyright
33%
Item Rating
33%
Social Relationships
33%
Regularization Term
33%
Rating Patterns
33%
Matrix Factorization Algorithm
33%
User Factors
33%
Object Function
33%
Distribution Trends
33%
Collaborative Filtering Method
33%
Matrix Factorization Model
33%
Dynamic Matrix
33%
Computer Science
Matrix Factorization
100%
Recommender Systems
50%
Training Matrix
50%
Regularization Parameter
50%
Social Relation
25%
Regularization Term
25%
Large Data Set
25%
collaborative filtering algorithm
25%
Factorization Algorithm
25%
Matrix Factorization Model
25%
Object Function
25%
Engineering
Matrix Factorization
100%
Squared Error
40%
Regularization Parameter
40%
Filtration
20%
Regularization
20%
Past Decade
20%
Social Relation
20%
Factorization Algorithm
20%
Start Model
20%