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20082026
most citedAn approximation algorithm for joint caching and recommendations in cache networks

29 citations · 91 across the 23 of their papers we have counts for

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16 papers · 1 filter

cs.NI2023★ 4 cited

Quid pro Quo in Streaming Services: Algorithms for Cooperative Recommendations

Dimitra Tsigkari, George Iosifidis, Thrasyvoulos Spyropoulos

Recommendations are employed by Content Providers (CPs) of streaming services in order to boost user engagement and their revenues. Recent works suggest that nudging recommendation…

cs.NI2021

Network Friendly Recommendations: Optimizing for Long Viewing Sessions

Theodoros Giannakas, Pavlos Sermpezis, Thrasyvoulos Spyropoulos

Caching algorithms try to predict content popularity, and place the content closer to the users. Additionally, nowadays requests are increasingly driven by recommendation systems (…

cs.NI2021★ 4 cited

Fairness in Network-Friendly Recommendations

Theodoros Giannakas, Pavlos Sermpezis, Anastasios Giovanidis +2

As mobile traffic is dominated by content services (e.g., video), which typically use recommendation systems, the paradigm of network-friendly recommendations (NFR) has been propos…

cs.NI2020

SOBA: Session optimal MDP-based network friendly recommendations

Theodoros Giannakas, Anastasios Giovanidis, Thrasyvoulos Spyropoulos

Caching content over CDNs or at the network edge has been solidified as a means to improve network cost and offer better streaming experience to users. Furthermore, nudging the use…

cs.NI2020★ 1 cited

Network-aware Recommendations in the Wild: Methodology, Realistic Evaluations, Experiments

Savvas Kastanakis, Pavlos Sermpezis, Vasileios Kotronis +2

Joint caching and recommendation has been recently proposed as a new paradigm for increasing the efficiency of mobile edge caching. Early findings demonstrate significant gains for…

cs.NI2020★ 29 cited

An approximation algorithm for joint caching and recommendations in cache networks

Dimitra Tsigkari, Thrasyvoulos Spyropoulos

Streaming platforms, like Netflix and YouTube, strive to offer high streaming quality (SQ), in terms of bitrate, delays, etc., to their users. Meanwhile, a significant share of con…