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
Offline evaluation options for recommender systems http://link.springer.com/10.1007/s10791-020-09371-3
A passage-based approach to learning to rank documents http://link.springer.com/10.1007/s10791-020-09369-x
Introduction to special issue on eCommerce search and recommendation http://link.springer.com/10.1007/s10791-020-09370-4
Low-cost, bottom-up measures for evaluating search result diversification - http://link.springer.com/10.1007/s10791-019-09356-x
Informational, transactional, and navigational need of information: relevance of search intention in search engine advertising http://link.springer.com/10.1007/s10791-019-09368-7
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
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.