16 citations · 33 across the 7 of their papers we have counts for
8 papers
Efficient Learning of Sparse Representations from Interactions
Vojtěch Vančura, Martin Spišák, Rodrigo Alves +1
Behavioral patterns captured in embeddings learned from interaction data are pivotal across various stages of production recommender systems. However, in the initial retrieval stag…
From Knots to Knobs: Towards Steerable Collaborative Filtering Using Sparse Autoencoders
Martin Spišák, Ladislav Peška, Petr Škoda +2
Sparse autoencoders (SAEs) have recently emerged as pivotal tools for introspection into large language models. SAEs can uncover high-quality, interpretable features at different l…
Evaluating Keyframe Layouts for Visual Known-Item Search in Homogeneous Collections
Bastian Jäckl, Jiří Kruchina, Lucas Joos +3
Multimodal deep-learning models power interactive video retrieval by ranking keyframes in response to textual queries. Despite these advances, users must still browse ranked candid…
Personalisation of d'Hondt's algorithm and its use in recommender ecosystems
Stepan Balcar, Ladislav Peska, Peter Vojtas
In the area of recommender systems, we are dealing with aggregations and potential of personalisation in ecosystems. Personalisation is based on separate aggregation models for eac…
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations
Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
Multi-objective recommender systems (MORS) provide suggestions to users according to multiple (and possibly conflicting) goals. When a system optimizes its results at the individua…
Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce
Ladislav Peska, Peter Vojtas
In this paper, we present our work towards comparing on-line and off-line evaluation metrics in the context of small e-commerce recommender systems. Recommending on small e-commerc…
Towards Recommender Systems for Police Photo Lineup
Ladislav Peska, Hana Trojanova
Photo lineups play a significant role in the eyewitness identification process. This method is used to provide evidence in the prosecution and subsequent conviction of suspects. Un…
Using the Context of User Feedback in Recommender Systems
Ladislav Peska
Our work is generally focused on recommending for small or medium-sized e-commerce portals, where explicit feedback is absent and thus the usage of implicit feedback is necessary.…