57 citations · 180 across the 49 of their papers we have counts for
5 papers · 1 filter
A Social-aware Gaussian Pre-trained Model for Effective Cold-start Recommendation
Siwei Liu, Xi Wang, Craig Macdonald +1
The use of pre-training is an emerging technique to enhance a neural model's performance, which has been shown to be effective for many neural language models such as BERT. This te…
Large Multi-modal Encoders for Recommendation
Zixuan Yi, Zijun Long, Iadh Ounis +2
In recent years, the rapid growth of online multimedia services, such as e-commerce platforms, has necessitated the development of personalised recommendation approaches that can e…
Contrastive Graph Prompt-tuning for Cross-domain Recommendation
Zixuan Yi, Iadh Ounis, Craig Macdonald
Recommender systems are frequently challenged by the data sparsity problem. One approach to mitigate this issue is through cross-domain recommendation techniques. In a cross-domain…
On the Effects of Regional Spelling Conventions in Retrieval Models
Andreas Chari, Sean MacAvaney, Iadh Ounis
One advantage of neural ranking models is that they are meant to generalise well in situations of synonymity i.e. where two words have similar or identical meanings. In this paper,…
Generative Query Reformulation for Effective Adhoc Search
Xiao Wang, Sean MacAvaney, Craig Macdonald +1
Performing automatic reformulations of a user's query is a popular paradigm used in information retrieval (IR) for improving effectiveness -- as exemplified by the pseudo-relevance…