Add abstract
Want to add your dissertation abstract to this database? It only takes a minute!
Search abstract
Search for abstracts by subject, author or institution
Want to add your dissertation abstract to this database? It only takes a minute!
Search for abstracts by subject, author or institution
Recommender Systems - Interest Graph Computational Methods for Document Networks
by Gary Roberson
Institution: | George Mason University |
---|---|
Year: | 2016 |
Keywords: | Computer science; Information science; Information technology; Computational Learning; Document Networks; Interest Graphs; Link Prediction; Recommender Systems; Semantic Medline |
Posted: | 02/05/2017 |
Record ID: | 2131123 |
Full text PDF: | http://hdl.handle.net/1920/10452 |
RECOMMENDER SYSTEMS – INTEREST GRAPH COMPUTATIONAL METHODS FOR DOCUMENT NETWORKS Advisors/Committee Members: Borne, KirkKerschberg, Larry (advisor).
Want to add your dissertation abstract to this database? It only takes a minute!
Search for abstracts by subject, author or institution
Prediction of Upper Body Power of Cross-Country Sk...
|
|
Bitcoins
Mining, Transaction, Security Challenges and Futur...
|
|
Applying User-Centered Interface Design Methods to...
|
|
Head-Order Techniques and Other Pragmatics of Lamb...
|
|
Visualization of Interface Metaphor for Software
An Engineering Approach
|
|
Indoor Wireless Metering Networks
A Collection of Algorithms Enabling Low Power/Low ...
|
|
Automated Generation of Geometrically-Precise and ...
|
|
A Study on the Tone-Reservation Technique for Peak...
|
|