Title
Organizing Online Computation for Adaptive Micro Open Education Resource Recommendation.
Abstract
Our previous work, Micro Learning as a Service (MLaaS), aimed to deliver adaptive micro open education resources (OERs). However, relying solely on the offline computation, the recommendation lacks rationality and timeliness. It is also difficult to make the first recommendation to a new learner. In this paper we introduce the organization of the online computation of the MLaaS. It targets at solving the cold start problem due to the shortage of learner information and real-time updates of the learner-micro OER profile.
Year
Venue
Field
2017
ICWL
World Wide Web,Rationality,Open education,Cold start,Computer science,Knowledge management,Online computation,Economic shortage,Cold start (automotive),Multimedia,Computation
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
7
6
Name
Order
Citations
PageRank
Geng Sun16110.04
Tingru Cui24014.12
Ghassan Beydoun345645.98
Shiping Chen4207.52
Dongming Xu554.94
Jun Shen623440.40