Preference-based interactive multi-document summarisation http://link.springer.com/10.1007/s10791-019-09367-8
Boosting learning to rank with user dynamics and continuation methods http://link.springer.com/10.1007/s10791-019-09366-9
A selective approach to index term weighting for robust information retrieval based on the frequency distributions of query terms http://link.springer.com/10.1007/s10791-018-9347-9
A comparison of filtering evaluation metrics based on formal constraints http://link.springer.com/10.1007/s10791-019-09355-y
Beyond word embeddings: learning entity and concept representations from large scale knowledge bases http://link.springer.com/10.1007/s10791-018-9340-3
Demographic differences in search engine use with implications for cohort selection http://link.springer.com/10.1007/s10791-018-09349-2
On the impact of group size on collaborative search effectiveness http://link.springer.com/10.1007/s10791-018-09350-9
Optimizing the recency-relevance-diversity trade-offs in non-personalized news recommendations http://link.springer.com/10.1007/s10791-019-09351-2
ReBoost: a retrieval-boosted sequence-to-sequence model for neural response generation http://link.springer.com/10.1007/s10791-019-09364-x
Evaluation measures for quantification: an axiomatic approach http://link.springer.com/10.1007/s10791-019-09363-y
Special issue on de-personalisation, diversification, filter bubbles and search http://link.springer.com/10.1007/s10791-019-09365-w
How do interval scales help us with better understanding IR evaluation measures? http://link.springer.com/10.1007/s10791-019-09362-z
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.