Algorithmic copywriting: automated generation of health-related advertisements to improve their performance http://link.springer.com/10.1007/s10791-021-09392-6
Improved reviewer assignment based on both word and semantic features http://link.springer.com/10.1007/s10791-021-09390-8
Topic-independent modeling of user knowledge in informational search sessions http://link.springer.com/10.1007/s10791-021-09391-7
Guest editorial: special issue on ECIR 2020 http://link.springer.com/10.1007/s10791-021-09389-1
Evaluation metrics for measuring bias in search engine results http://link.springer.com/10.1007/s10791-020-09386-w
Structural textile pattern recognition and processing based on hypergraphs http://link.springer.com/10.1007/s10791-020-09384-y
LSH kNN graph for diffusion on image retrieval http://link.springer.com/10.1007/s10791-020-09388-8
Improving question answering for event-focused questions in temporal collections of news articles http://link.springer.com/10.1007/s10791-020-09387-9
Review helpfulness evaluation and recommendation based on an attention model of customer expectation http://link.springer.com/10.1007/s10791-020-09385-x
A comparison of automatic Boolean query formulation for systematic reviews http://link.springer.com/10.1007/s10791-020-09381-1
Special issue on learning from user interactions http://link.springer.com/10.1007/s10791-020-09382-0
Foreword to the special issue on mining actionable insights from online user generated content http://link.springer.com/10.1007/s10791-020-09380-2
Robust keyword search in large attributed graphs http://link.springer.com/10.1007/s10791-020-09379-9
Employing neighborhood reduction for alleviating sparsity and cold start problems in user-based collaborative filtering http://link.springer.com/10.1007/s10791-020-09378-w
Assessing ranking metrics in top-N recommendation http://link.springer.com/10.1007/s10791-020-09377-x
On the foundations of similarity in information access http://link.springer.com/10.1007/s10791-020-09375-z
On the nature of information access evaluation metrics: a unifying framework http://link.springer.com/10.1007/s10791-020-09374-0
Axiomatic thinking for information retrieval: introduction to special issue http://link.springer.com/10.1007/s10791-020-09376-y
Sharing emotions: determining films’ evoked emotional experience from their online reviews http://link.springer.com/10.1007/s10791-020-09373-1
An axiomatic approach to corpus-based cross-language information retrieval http://link.springer.com/10.1007/s10791-020-09372-2
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.