Sequence-aware news recommendations by combining intra- with inter-session user information http://rd.springer.com/10.1007/s10791-022-09415-w
Highlighting exact matching via marking strategies for ad hoc document ranking with pretrained contextualized language models http://link.springer.com/10.1007/s10791-022-09414-x
Reinforcement online learning to rank with unbiased reward shaping http://link.springer.com/10.1007/s10791-022-09413-y
Shallow pooling for sparse labels http://rd.springer.com/10.1007/s10791-022-09411-0
Exploring latent connections in graph neural networks for session-based recommendation http://link.springer.com/10.1007/s10791-022-09412-z
Learning user preferences through online conversations via personalized memory transfer http://link.springer.com/10.1007/s10791-022-09410-1
Recommendations for item set completion: on the semantics of item co-occurrence with data sparsity, input size, and input modalities http://link.springer.com/10.1007/s10791-022-09408-9
Guest editorial: special issue on ECIR 2021 http://link.springer.com/10.1007/s10791-022-09409-8
CEQE to SQET: A study of contextualized embeddings for query expansion http://link.springer.com/10.1007/s10791-022-09405-y
Open-domain conversational search assistants: the Transformer is all you need http://link.springer.com/10.1007/s10791-022-09403-0
CoSearcher: studying the effectiveness of conversational search refinement and clarification through user simulation http://link.springer.com/10.1007/s10791-022-09404-z
On cross-lingual retrieval with multilingual text encoders http://link.springer.com/10.1007/s10791-022-09406-x
sMARE: a new paradigm to evaluate and understand query performance prediction methods http://link.springer.com/10.1007/s10791-022-09407-w
Kernel density estimation based factored relevance model for multi-contextual point-of-interest recommendation http://link.springer.com/10.1007/s10791-021-09400-9
Efficient query processing techniques for next-page retrieval http://link.springer.com/10.1007/s10791-021-09402-7
Measurement of clustering effectiveness for document collections http://link.springer.com/10.1007/s10791-021-09401-8
Search results diversification for effective fair ranking in academic search http://link.springer.com/10.1007/s10791-021-09399-z
Neural ranking models for document retrieval http://link.springer.com/10.1007/s10791-021-09398-0
Combining semi-supervised and active learning to rank algorithms: application to Document Retrieval http://link.springer.com/10.1007/s10791-021-09396-2
Variational Bayesian representation learning for grocery recommendation http://link.springer.com/10.1007/s10791-021-09397-1
The "unofficial" Information Retrieval Mastodon Instance.
Goal: Make idf.social a viable and valuable social space for anyone working in Information Retrieval and related scientific research.
Everyone welcome but expect some level of geekiness on the instance and federated timelines.