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Personalized ranking metric embedding for next new POI recommendation
Shanshan Feng
, Xutao Li
, Yifeng Zeng
, Gao Cong
, Yeow Meng Chee
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
776
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Dive into the research topics of 'Personalized ranking metric embedding for next new POI recommendation'. Together they form a unique fingerprint.
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Keyphrases
Point-of-interest Recommendation
100%
Rank Metric
100%
Personalized Ranking
100%
Metric Embedding
100%
Embedding Method
75%
Location-based Social Networks
50%
Check-in
50%
Sequential Information
50%
Recommendation Problems
25%
Recommendation Method
25%
Recommendation Performance
25%
Gamma Model
25%
Next Point-of-interest Recommendation
25%
Matrix Factorization
25%
Factorization Method
25%
Recommendation Model
25%
Geographical Influence
25%
Individual Preferences
25%
Social Information
25%
Problem Complexity
25%
Computer Science
Points of Interest
100%
Embedding Method
75%
Social Network
50%
Problem Complexity
25%
Matrix Factorization
25%