108 citations · 421 across the 36 of their papers we have counts for
5 papers · 1 filter
Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification
Xi Wang, Iadh Ounis, Craig Macdonald
The incompleteness of positive labels and the presence of many unlabelled instances are common problems in binary classification applications such as in review helpfulness classifi…
Declarative Experimentation in Information Retrieval using PyTerrier
Craig Macdonald, Nicola Tonellotto
The advent of deep machine learning platforms such as Tensorflow and Pytorch, developed in expressive high-level languages such as Python, have allowed more expressive representati…
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models
Zaiqiao Meng, Richard McCreadie, Craig Macdonald +1
Effective methodologies for evaluating recommender systems are critical, so that such systems can be compared in a sound manner. A commonly overlooked aspect of recommender system…
Deep Reinforced Query Reformulation for Information Retrieval
Xiao Wang, Craig Macdonald, Iadh Ounis
Query reformulations have long been a key mechanism to alleviate the vocabulary-mismatch problem in information retrieval, for example by expanding the queries with related query t…
Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format
Jimmy Lin, Joel Mackenzie, Chris Kamphuis +5
There exists a natural tension between encouraging a diverse ecosystem of open-source search engines and supporting fair, replicable comparisons across those systems. To balance th…