32 citations · 36 across the 5 of their papers we have counts for
5 papers · 1 filter
Doc2Query--: When Less is More
Mitko Gospodinov, Sean MacAvaney, Craig Macdonald
Doc2Query -- the process of expanding the content of a document before indexing using a sequence-to-sequence model -- has emerged as a prominent technique for improving the first-s…
Adaptive Re-Ranking with a Corpus Graph
Sean MacAvaney, Nicola Tonellotto, Craig Macdonald
Search systems often employ a re-ranking pipeline, wherein documents (or passages) from an initial pool of candidates are assigned new ranking scores. The process enables the use o…
A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation
Aleksandr Petrov, Craig Macdonald
BERT4Rec is an effective model for sequential recommendation based on the Transformer architecture. In the original publication, BERT4Rec claimed superiority over other available s…
Effective and Efficient Training for Sequential Recommendation using Recency Sampling
Aleksandr Petrov, Craig Macdonald
Many modern sequential recommender systems use deep neural networks, which can effectively estimate the relevance of items but require a lot of time to train. Slow training increas…
Emergency Identification and Analysis with EAIMS
Richard McCreadie, Craig Macdonald, Iadh Ounis
Social media platforms are now a key source of information for a large segment of the public. As such, these platforms have a great potential as a means to provide real-time inform…