Original paper
Jointly Optimizing Content Caching and Recommendations in Small Cell Networks
Volume: 18, Issue: 1, Pages: 125 - 138
Published: Jan 1, 2019
Abstract
Caching decisions typically seek to cache content that satisfies the maximum possible demand aggregated over all users. Recommendation systems, on the contrary, focus on individual users and recommend to them appealing content in order to elicit further content consumption. In our paper, we explore how these, phenomenally conflicting, objectives can be jointly addressed. First, we formulate an optimization problem for the joint caching and...
Paper Details
Title
Jointly Optimizing Content Caching and Recommendations in Small Cell Networks
Published Date
Jan 1, 2019
Volume
18
Issue
1
Pages
125 - 138
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History