activity
20202024
most citedLeveraging Large Language Models for Sequential Recommendation

127 citations · 128 across the 3 of their papers we have counts for

collaborators

6 papers

cs.DC2024

CheckMate: Evaluating Checkpointing Protocols for Streaming Dataflows

George Siachamis, Kyriakos Psarakis, Marios Fragkoulis +3

Stream processing in the last decade has seen broad adoption in both commercial and research settings. One key element for this success is the ability of modern stream processors t…

cs.IR2024

Improving Sequential Recommendations with LLMs

Artun Boz, Wouter Zorgdrager, Zoe Kotti +5

The sequential recommendation problem has attracted considerable research attention in the past few years, leading to the rise of numerous recommendation models. In this work, we e…

cs.DC2023

Styx: Transactional Stateful Functions on Streaming Dataflows

Kyriakos Psarakis, George Christodoulou, George Siachamis +2

Developing stateful cloud applications, such as low-latency workflows and microservices with strict consistency requirements, remains arduous for programmers. The Stateful Function…

cs.IR2023127 cited

Leveraging Large Language Models for Sequential Recommendation

Jesse Harte, Wouter Zorgdrager, Panos Louridas +3

Sequential recommendation problems have received increasing attention in research during the past few years, leading to the inception of a large variety of algorithmic approaches.…

cs.DC20211 cited

Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile

Can Gencer, Marko Topolnik, Viliam Ďurina +11

Jet is an open-source, high-performance, distributed stream processor built at Hazelcast during the last five years. Jet was engineered with millisecond latency on the 99.99th perc…

cs.DB2020

Valentine: Evaluating Matching Techniques for Dataset Discovery

Christos Koutras, George Siachamis, Andra Ionescu +6

Data scientists today search large data lakes to discover and integrate datasets. In order to bring together disparate data sources, dataset discovery methods rely on some form of…