5 papers
Evaluation of Field-Aware Neural Ranking Models for Recipe Search
Kentaro Takiguchi, Mikhail Fain, Niall Twomey +1
Explicitly modelling field interactions and correlations in complex document structures has recently gained popularity in neural document embedding and retrieval tasks. Although th…
Disaggregated Memory at the Edge
Luis M Vaquero, Yehia Elkhatib, Felix Cuadrado
This paper describes how to augment techniques such as Distributed Shared Memory with recent trends on disaggregated Non Volatile Memory in the data centre so that the combination…
Non-Linear Multiple Field Interactions Neural Document Ranking
Kentaro Takiguchi, Niall Twomey, Luis M. Vaquero
Ranking tasks are usually based on the text of the main body of the page and the actions (clicks) of users on the page. There are other elements that could be leveraged to better c…
Auto-tuning Distributed Stream Processing Systems using Reinforcement Learning
Luis M. Vaquero, Felix Cuadrado
Fine tuning distributed systems is considered to be a craftsmanship, relying on intuition and experience. This becomes even more challenging when the systems need to react in near…
Research Challenges in Nextgen Service Orchestration
Luis M. Vaquero, Felix Cuadrado, Yehia Elkhatib +3
Fog/edge computing, function as a service, and programmable infrastructures, like software-defined networking or network function virtualisation, are becoming ubiquitously used in…