A tag-based personalized item recommendation system using tensor modeling and topic model approaches Full text:
PDF
Gaussian process factorization machines for context-aware recommendations Full text:
PDF
Addressing cold start in recommender systems: a semi-supervised co-training algorithm Full text:
PDFExplicit factor models for explainable recommendation based on phrase-level sentiment analysis Full text:
PDF
Preference preserving hashing for efficient recommendation Full text:
PDFLoad balancing for partition-based similarity search Full text:
PDF
Recommending social media content to community owners Full text:
PDF
On measuring social friend interest similarities in recommender systems Full text:
PDF
New and improved: modeling versions to improve app recommendation Full text:
PDF
Detection of abnormal profiles on group attacks in recommender systems Full text:
PDF
Modeling dual role preferences for trust-aware recommendation Full text:
PDFGroup latent factor model for recommendation with multiple user behaviors Full text:
PDF
A revisit to social network-based recommender systems Full text:
PDF
Just-for-me: an adaptive personalization system for location-aware social music recommendation Full text:
PDFNovelty and diversity enhancement and evaluation in recommender systems and information retrieval Full text:
PDFWhat comes after the Social Networking wave?
The Next Big Investment Opportunity on the Internet will be .... Personalization!
Personality Based Recommender Systems and Strict Personality Based Compatibility Matching Engines for serious Online Dating with the normative 16PF5 personality test.
If you want to be first in the "personalization arena" == Personality Based Recommender Systems, you should understand HOW TO INNOVATE in the ............ Online Dating Industry first of all!
No comments:
Post a Comment