research
∙
02/07/2023
Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems
The emergency of Pre-trained Language Models (PLMs) has achieved tremend...
share
research
∙
12/23/2022
Recommending on Graphs: A Comprehensive Review from Data Perspective
Recent advances in graph-based learning approaches have demonstrated the...
research
∙
11/09/2022
Evaluating and Improving Context Attention Distribution on Multi-Turn Response Generation using Self-Contained Distractions
Despite the rapid progress of open-domain generation-based conversationa...
research
∙
05/05/2022
Balancing Multi-Domain Corpora Learning for Open-Domain Response Generation
Open-domain conversational systems are assumed to generate equally good ...
research
∙
10/21/2020
Neural Networks for Entity Matching
Entity matching is the problem of identifying which records refer to the...
research
∙
08/14/2018
Evaluation of team dynamic in Norwegian projects for IT students
The need for teaching realistic software development in project courses ...
research
∙
09/22/2017
