A Recommender System Architecture for Instructional Engineering

2008 ◽  
pp. 314-321 ◽  
Author(s):  
Manuel E. Prieto ◽  
Víctor H. Menéndez ◽  
Alejandra A. Segura ◽  
Christian L. Vidal
Keyword(s):  
Recommender System ◽  
System Architecture

scholarly journals Deploying CommunityCommands: A Software Command Recommender System Case Study

AI Magazine ◽  
2015 ◽  
Vol 36 (3) ◽  
pp. 19-34
Author(s):  
Wei Li ◽  
Justin Matejka ◽  
Tovi Grossmann ◽  
George Fitzmaurice
Keyword(s):  
Recommender System ◽  
System Architecture ◽  
Design Space ◽  
User Study ◽  
End User ◽  
Software Application ◽  
Customer Involvement ◽  
Learning Assistance ◽  
One Year

In 2009 we presented the idea of using collaborative filtering within a complex software application to help users learn new and relevant commands (Matejka et al. 2009). This project continued to evolve and we explored the design space of a contextual software command recommender system and completed a six-week user study (Li et al. 2011). We then expanded the scope of our project by implementing CommunityCommands, a fully functional and deployable recommender system. CommunityCommands was a publically available plug-in for Autodesk’s flagship software application AutoCAD. During a one-year period, the recommender system was used by more than 1100 users. In this article, we discuss how our practical system architecture was designed to leverage Autodesk’s existing Customer Involvement Program (CIP) data to deliver in-product contextual recommendations to end-users. We also present our system usage data and payoff, and provide an in-depth discussion of the challenges and design issues associated with developing and deploying the software command recommender system. Our work sets important groundwork for the future development of recommender systems within the domain of end-user software learning assistance.

scholarly journals Research on the Design of Mass Recommendation System Based on Lambda Architecture

2021 ◽  
Author(s):  
Bowen Chen ◽  
Li Zhu ◽  
Da Wang ◽  
JunHua Cheng
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Recommender System ◽  
System Architecture ◽  
Hybrid Algorithm ◽  
Recommendation System ◽  
Lambda Architecture ◽  
System Data ◽  
System Architecture Design ◽  
Research Analysis

In the era of big data, in order to increasing the information data for conforms to the personalized needs of content, research scholars put forward based on the Lambda mass recommendation system architecture design, it can not only to the recessive and dominant behavior of users of the system data collection storage and research analysis, can also be based on the analysis of cascading hybrid algorithm to explore how to carry out real-time recommendation. Therefore, on the basis of understanding the research and development achievements of recommender systems at home and abroad in recent years, and based on the understanding and analysis of Lambda architecture and cascading hybrid algorithm, this paper aims at how to design a massive recommender system in line with users’ behavior, and makes clear the recommendation effect by combining with system testing.

A distributed recommender system architecture

2012 ◽  
Vol 7 (3) ◽  
pp. 203
Author(s):  
Panagiotis Giannikopoulos ◽  
Costas Vassilakis
Keyword(s):  
Recommender System ◽  
System Architecture

A recommender system architecture for predictive telecom network management

2015 ◽  
Vol 53 (1) ◽  
pp. 286-293 ◽  
Author(s):  
Faisal Zaman ◽  
Gabriel Hogan ◽  
Sven Der Meer ◽  
John Keeney ◽  
Sebastian Robitzsch ◽  
...  
Keyword(s):  
Network Management ◽  
Recommender System ◽  
System Architecture ◽  
Telecom Network

A recommender system architecture for an inter-application environment

2012 ◽  
Author(s):  
Eduardo Jose Marcelino Vicente dos Santos ◽  
Byron Leite Dantas Bezerra ◽  
Jefferson Silva de Amorim ◽  
Arthur Inacio do Nascimento
Keyword(s):  
Recommender System ◽  
System Architecture
Sign in / Sign up

Export Citation Format

Share Document