Graduate School and Research Center in Digital Sciences

Towards QoS-aware recommendations

Sermpezis, Pavlos; Kastanakis, Savvas; Pinheiro, João Ismael; Assis, Felipe; Menasché, Daniel; Spyropoulos, Thrasyvoulos

Submitted to ArXiv, 15 July 2019

This paper suggests the concept of QoS-aware recommendations for multimedia services/applications. We propose that recommendation systems (RSs) should take into account the expected QoS with which a content can be delivered to a user, to increase the user satisfaction and retention rates. While QoS-aware (or, network-aware) recommendations have been recently proposed as a promising solution to improve network performance, the impact of this idea on real user experience has only been speculated. Our contributions in this direction are the following: (i) we reconsider the problem from the perspective of users and the RS; (ii) to support our suggestions, we conduct experiments with real users, and present initial experimental results. Our analysis demonstrates the potential of the idea: QoS-aware recommendations could be beneficial for both the users (better experience) and content providers (higher retention rates). We believe that our study can help open a future research direction.

Arxiv Bibtex

Title:Towards QoS-aware recommendations
Keywords:Quality of Service, Context-aware Recommendation Systems, Multimedia content, Experiments, YouTube video service
Department:Communication systems
Eurecom ref:5985
Copyright: © EURECOM. Personal use of this material is permitted. The definitive version of this paper was published in Submitted to ArXiv, 15 July 2019 and is available at :
Bibtex: @inproceedings{EURECOM+5985, year = {2019}, title = {{T}owards {Q}o{S}-aware recommendations}, author = {{S}ermpezis, {P}avlos and {K}astanakis, {S}avvas and {P}inheiro, {J}o{\~a}o {I}smael and {A}ssis, {F}elipe and {M}enasch{\'e}, {D}aniel and {S}pyropoulos, {T}hrasyvoulos}, booktitle = {{S}ubmitted to {A}r{X}iv, 15 {J}uly 2019}, address = {}, month = {07}, url = {} }
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