Optimal Baseline Corrections for Off-Policy Contextual Bandits
The off-policy learning paradigm allows for recommender systems and general ranking
applications to be framed as decision-making problems, where we aim to learn decision …
applications to be framed as decision-making problems, where we aim to learn decision …
Generating TRIZ-inspired guidelines for eco-design using Generative Artificial Intelligence
Environmental considerations are emerging as stimuli for innovation during the eco-design
ideation process. Integrating TRIZ (Teoriya Resheniya Izobretatelskikh Zadatch─ Theory of …
ideation process. Integrating TRIZ (Teoriya Resheniya Izobretatelskikh Zadatch─ Theory of …
Learning Metrics that Maximise Power for Accelerated A/B-Tests
Online controlled experiments are a crucial tool to allow for confident decision-making in
technology companies. A North Star metric is defined (such as long-term revenue or user …
technology companies. A North Star metric is defined (such as long-term revenue or user …
Multi-Objective Recommendation via Multivariate Policy Learning
Real-world recommender systems often need to balance multiple objectives when deciding
which recommendations to present to users. These include behavioural signals (eg clicks …
which recommendations to present to users. These include behavioural signals (eg clicks …
Personalized Representation from Personalized Generation
S Sundaram, J Chae, Y Tian, S Beery… - ar** Item-wise Rating into Attribute-wise Ratings for Enhanced Personalized Recommendations
P Chaparala, P Nagabhushan… - 2024 15th …, 2024 - ieeexplore.ieee.org
Personalization is the key to any recommendation service, as it relies heavily on analyzing
user interactions with items to uncover patterns and suggest relevant items. While users …
user interactions with items to uncover patterns and suggest relevant items. While users …
A Graph-Based Approach for Prioritizing Sets of Related Cancer Genes
Purpose: The identification of cancer-related genes with significant mutations is critical for
deciphering the underlying mechanisms of tumor initiation and progression. Because of the …
deciphering the underlying mechanisms of tumor initiation and progression. Because of the …
Strategies for Accurate Context Retrieval in Retrieval-Augmented Generation Systems Across Diverse Datasets
H Björk, A Andersson - 2024 - diva-portal.org
In recent years, the rapid advancement of generative artificial intelligence has significantly
expanded the horizons of knowledge management and information retrieval. With the …
expanded the horizons of knowledge management and information retrieval. With the …