activity
20192025
most citedLeveraging Large Language Models for Sequential Recommendation

127 citations · 267 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SE2025

PyTrim: A Practical Tool for Reducing Python Dependency Bloat

Konstantinos Karakatsanis, Georgios Alexopoulos, Ioannis Karyotakis +4

Dependency bloat is a persistent challenge in Python projects, which increases maintenance costs and security risks. While numerous tools exist for detecting unused dependencies in…

cs.IR2023★ 127 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.CL2022★ 1 cited

A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis

Konstantina Dritsa, Kaiti Thoma, John Pavlopoulos +1

Large, diachronic datasets of political discourse are hard to come across, especially for resource-lean languages such as Greek. In this paper, we introduce a curated dataset of th…

cs.PL2021

PyCG: Practical Call Graph Generation in Python

Vitalis Salis, Thodoris Sotiropoulos, Panos Louridas +2

Call graphs play an important role in different contexts, such as profiling and vulnerability propagation analysis. Generating call graphs in an efficient manner can be a challengi…

cs.SE2020★ 13 cited

A Dataset of Enterprise-Driven Open Source Software

Diomidis Spinellis, Zoe Kotti, Konstantinos Kravvaritis +2

We present a dataset of open source software developed mainly by enterprises rather than volunteers. This can be used to address known generalizability concerns, and, also, to perf…

cs.SE2019★ 126 cited

On the Feasibility of Transfer-learning Code Smells using Deep Learning

Tushar Sharma, Vasiliki Efstathiou, Panos Louridas +1

Context: A substantial amount of work has been done to detect smells in source code using metrics-based and heuristics-based methods. Machine learning methods have been recently ap…