153 citations · 369 across the 18 of their papers we have counts for
3 papers · 1 filter
SE-PEF: a Resource for Personalized Expert Finding
Pranav Kasela, Gabriella Pasi, Raffaele Perego
The problem of personalization in Information Retrieval has been under study for a long time. A well-known issue related to this task is the lack of publicly available datasets tha…
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation
Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini +2
Information Retrieval (IR) and Recommender Systems (RS) tasks are moving from computing a ranking of final results based on a single metric to multi-objective problems. Solving the…
SE-PQA: Personalized Community Question Answering
Pranav Kasela, Marco Braga, Gabriella Pasi +1
Personalization in Information Retrieval is a topic studied for a long time. Nevertheless, there is still a lack of high-quality, real-world datasets to conduct large-scale experim…