3 April 2023
An overview of the 6 papers we're presenting at the European Conference on IR in Dublin this year.
2023
8 July 2021
A new sparse bi-encoder BERT-based model for effective and efficient first-stage ranking. The first to rival dense models.
2021
10 March 2021
Podcast and transcript of Matthias Gallé, head of the NAVER research LAB in Europe who tells us what kind of research is going on in the labs in France and what it’s like to work there.
2021
18 December 2020
By dissecting the matching process of the recent ColBERT model, we make a step towards unveiling the ranking properties of BERT-based ranking models and show that ColBERT (implicitly) learns a notion of term importance that correlates with IDF.
2020
24 November 2020
A new approach to image search uses images returned by traditional search methods as nodes in a graph neural network through which similarity signals are propagated, achieving improved ranking in cross-modal retrieval.
2020
5 November 2020
A new greedy, brute-force solution improves fairness in ranking and encompasses realistic scenarios with multiple, unknown protected groups.
2020
19 July 2019
A combination of collaborative filtering approaches and contextual information can help overcome unpredictable behavior while taking into account position and layout bias for more effective recommendation.
2019