A tag-based personalized item recommendation system using tensor modeling and topic model approaches Full text:
Gaussian process factorization machines for context-aware recommendations Full text:
Addressing cold start in recommender systems: a semi-supervised co-training algorithm Full text:
Explicit factor models for explainable recommendation based on phrase-level sentiment analysis Full text:
Preference preserving hashing for efficient recommendation Full text:
Load balancing for partition-based similarity search Full text:
Recommending social media content to community owners Full text:
On measuring social friend interest similarities in recommender systems Full text:
New and improved: modeling versions to improve app recommendation Full text:
Detection of abnormal profiles on group attacks in recommender systems Full text:
Modeling dual role preferences for trust-aware recommendation Full text:
Group latent factor model for recommendation with multiple user behaviors Full text:
A revisit to social network-based recommender systems Full text:
Just-for-me: an adaptive personalization system for location-aware social music recommendation Full text:
Novelty and diversity enhancement and evaluation in recommender systems and information retrieval Full text:
What 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!
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