Artificial intelligence for wireless caching: Schemes, performance, and challenges

M Sheraz, M Ahmed, X Hou, Y Li, D Jin… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Wireless data traffic is growing unprecedentedly and it may impede network performance by
consuming an ever-greater amount of bandwidth. With the advancement in technology there …

A survey of recommendation systems

S Malik, A Rana, M Bansal - Information Resources Management …, 2020 - igi-global.com
Today's internet is able to discover almost any product or piece of information. The large
amounts of unfiltered information returned by an internet query calls for filters able to …

Caching efficiency maximization for device-to-device communication networks: A recommend to cache approach

Y Fu, L Salaün, X Yang, W Wen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Edge side caching assisted device-to-device (D2D) communication has been
acknowledged as a promising technique to alleviate the heavy burden of backhaul …

Soft cache hits: Improving performance through recommendation and delivery of related content

P Sermpezis, T Giannakas… - IEEE Journal on …, 2018 - ieeexplore.ieee.org
Pushing popular content to small cells with local storage (“helper” nodes) has been
proposed to cope with the ever-growing data demand. Nevertheless, the collective storage …

Caching-aware recommendations: Nudging user preferences towards better caching performance

LE Chatzieleftheriou, M Karaliopoulos… - IEEE Infocom 2017 …, 2017 - ieeexplore.ieee.org
Caching decisions by default seek to maximize some notion of social welfare: the content to
be cached is determined so that the maximum possible aggregate demand over all users …

Jointly optimizing content caching and recommendations in small cell networks

LE Chatzieleftheriou, M Karaliopoulos… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Caching decisions typically seek to cache content that satisfies the maximum possible
demand aggregated over all users. Recommendation systems, on the contrary, focus on …

Behind the game: Exploring the twitch streaming platform

J Deng, F Cuadrado, G Tyson… - … Workshop on Network …, 2015 - ieeexplore.ieee.org
Twitch is a streaming platform that lets users broadcast their screen whilst playing games.
People can share their game experience and interact with others in real time. Twitch has …

Joint content caching, recommendation, and transmission optimization for next generation multiple access networks

Y Fu, Y Zhang, Q Zhu, M Chen… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
We exploit a behavior-shaping proactive mechanism, namely, recommendation, in cache-
assisted non-orthogonal multiple access (NOMA) networks, aiming at minimizing the …

A new item similarity based on α-divergence for collaborative filtering in sparse data

Y Wang, P Wang, Z Liu, LY Zhang - Expert Systems with Applications, 2021 - Elsevier
In big data era, collaborative filtering as one of the most popular recommendation
techniques plays an important role to promote the development of online trade. Similarity …

Mixed-timescale caching and beamforming in content recommendation aware fog-RAN: A latency perspective

X Yang, Y Fu, W Wen, TQS Quek… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Content caching is recognized as a promising solution to release the heavy burden of
backhaul links and decrease the content transmission latency in Fog radio access networks …