2024

Petrov, A. V., Macdonald, C. and Tonellotto, N. (2024) Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items. In: 18th ACM Conference on Recommender Systems, Bari, Italy, 14-18 Oct 2024, pp. 912-917. ISBN 97984007-05052 (doi: 10.1145/3640457.3688168)

MacAvaney, S. and Tonellotto, N. (2024) A Reproducibility Study of PLAID. In: 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), Washington D.C., USA, 14-18 July 2024, pp. 1411-1419. ISBN 9798400704314 (doi: 10.1145/3626772.3657856)

2023

Acquavia, A., Tonellotto, N. and Macdonald, C. (2023) Static Pruning for Multi-Representation Dense Retrieval. In: 23rd ACM Symposium on Document Engineering (DocEng'23), Limerick, Ireland, 22-25 Aug 2023, ISBN 9798400700279 (doi: 10.1145/3573128.3604896)

Wang, X., Macdonald, C. , Tonellotto, N. and Ounis, I. (2023) Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col*. In: 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR23), Taipei, Taiwan, 23-27 July 2023, pp. 2552-2561. ISBN 9781450394086 (doi: 10.1145/3539618.3591916)

Wang, X., Macdonald, C. , Tonellotto, N. and Ounis, I. (2023) ColBERT-PRF: Semantic pseudo-relevance feedback for dense passage and document retrieval. ACM Transactions on the Web, 17(1), 3. (doi: 10.1145/3572405)

2022

MacAvaney, S. , Tonellotto, N. and Macdonald, C. (2022) Adaptive Re-Ranking with a Corpus Graph. In: 31st ACM International Conference on Information and Knowledge Management (CIKM '22), Atlanta, Georgia, USA, 17-21 October 2022, pp. 1491-1500. ISBN 9781450392365 (doi: 10.1145/3511808.3557231)

Dato, D., MacAvaney, S. , Nardini, F. M., Perego, R. and Tonellotto, N. (2022) The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation. In: SIGIR 2022: 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11-15 Jul 2022, pp. 3099-3107. ISBN 9781450387323 (doi: 10.1145/3477495.3531740)

2021

Macdonald, C. and Tonellotto, N. (2021) On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. In: 30th ACM International Conference on Information and Knowledge Management, 01-05 Nov 2021, pp. 3318-3322. ISBN 9781450384469 (doi: 10.1145/3459637.3482156)

Macdonald, C. , Tonellotto, N. , MacAvaney, S. and Ounis, I. (2021) PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. In: 30th ACM International Conference on Information and Knowledge Management, Virtual Event Queensland, Australia, 01-05 Nov 2021, pp. 4526-4533. ISBN 9781450384469 (doi: 10.1145/3459637.3482013)

Tonellotto, N. and Macdonald, C. (2021) Query Embedding Pruning for Dense Retrieval. In: 30th ACM International Conference on Information and Knowledge Management, Virtual Event Queensland, Australia, 01-05 Nov 2021, pp. 3453-3457. ISBN 9781450384469 (doi: 10.1145/3459637.3482162)

Wang, X., Macdonald, C. , Tonellotto, N. and Ounis, I. (2021) Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. In: 7th ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2021), 11 Jul 2021, pp. 297-306. ISBN 9781450386111 (doi: 10.1145/3471158.3472250)

Macdonald, C. , Tonellotto, N. and Ounis, I. (2021) On Single and Multiple Representations in Dense Passage Retrieval. In: 11th Italian Information Retrieval Workshop (IIR 2021), Bari, Italy, 13-15 Sep 2021,

Articles

Wang, X., Macdonald, C. , Tonellotto, N. and Ounis, I. (2023) ColBERT-PRF: Semantic pseudo-relevance feedback for dense passage and document retrieval. ACM Transactions on the Web, 17(1), 3. (doi: 10.1145/3572405)

Conference Proceedings

Petrov, A. V., Macdonald, C. and Tonellotto, N. (2024) Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items. In: 18th ACM Conference on Recommender Systems, Bari, Italy, 14-18 Oct 2024, pp. 912-917. ISBN 97984007-05052 (doi: 10.1145/3640457.3688168)

MacAvaney, S. and Tonellotto, N. (2024) A Reproducibility Study of PLAID. In: 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), Washington D.C., USA, 14-18 July 2024, pp. 1411-1419. ISBN 9798400704314 (doi: 10.1145/3626772.3657856)

Acquavia, A., Tonellotto, N. and Macdonald, C. (2023) Static Pruning for Multi-Representation Dense Retrieval. In: 23rd ACM Symposium on Document Engineering (DocEng'23), Limerick, Ireland, 22-25 Aug 2023, ISBN 9798400700279 (doi: 10.1145/3573128.3604896)

Wang, X., Macdonald, C. , Tonellotto, N. and Ounis, I. (2023) Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col*. In: 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR23), Taipei, Taiwan, 23-27 July 2023, pp. 2552-2561. ISBN 9781450394086 (doi: 10.1145/3539618.3591916)

MacAvaney, S. , Tonellotto, N. and Macdonald, C. (2022) Adaptive Re-Ranking with a Corpus Graph. In: 31st ACM International Conference on Information and Knowledge Management (CIKM '22), Atlanta, Georgia, USA, 17-21 October 2022, pp. 1491-1500. ISBN 9781450392365 (doi: 10.1145/3511808.3557231)

Dato, D., MacAvaney, S. , Nardini, F. M., Perego, R. and Tonellotto, N. (2022) The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation. In: SIGIR 2022: 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11-15 Jul 2022, pp. 3099-3107. ISBN 9781450387323 (doi: 10.1145/3477495.3531740)

Macdonald, C. and Tonellotto, N. (2021) On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. In: 30th ACM International Conference on Information and Knowledge Management, 01-05 Nov 2021, pp. 3318-3322. ISBN 9781450384469 (doi: 10.1145/3459637.3482156)

Macdonald, C. , Tonellotto, N. , MacAvaney, S. and Ounis, I. (2021) PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. In: 30th ACM International Conference on Information and Knowledge Management, Virtual Event Queensland, Australia, 01-05 Nov 2021, pp. 4526-4533. ISBN 9781450384469 (doi: 10.1145/3459637.3482013)

Tonellotto, N. and Macdonald, C. (2021) Query Embedding Pruning for Dense Retrieval. In: 30th ACM International Conference on Information and Knowledge Management, Virtual Event Queensland, Australia, 01-05 Nov 2021, pp. 3453-3457. ISBN 9781450384469 (doi: 10.1145/3459637.3482162)

Wang, X., Macdonald, C. , Tonellotto, N. and Ounis, I. (2021) Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. In: 7th ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2021), 11 Jul 2021, pp. 297-306. ISBN 9781450386111 (doi: 10.1145/3471158.3472250)

Macdonald, C. , Tonellotto, N. and Ounis, I. (2021) On Single and Multiple Representations in Dense Passage Retrieval. In: 11th Italian Information Retrieval Workshop (IIR 2021), Bari, Italy, 13-15 Sep 2021,