27 citations · 81 across the 10 of their papers we have counts for
10 papers
Dataset and Models for Item Recommendation Using Multi-Modal User Interactions
Simone Borg Bruun, Krisztian Balog, Maria Maistro
While recommender systems with multi-modal item representations (image, audio, and text), have been widely explored, learning recommendations from multi-modal user interactions (e.…
FullBrain: a Social E-learning Platform
Mirko Biasini, Vittorio Carmignani, Nicola Ferro +3
We present FullBrain, a social e-learning platform where students share and track their knowledge. FullBrain users can post notes, ask questions and share learning resources in ded…
Principled Multi-Aspect Evaluation Measures of Rankings
Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen +1
Information Retrieval evaluation has traditionally focused on defining principled ways of assessing the relevance of a ranked list of documents with respect to a query. Several met…
Learning Recommendations from User Actions in the Item-poor Insurance Domain
Simone Borg Bruun, Maria Maistro, Christina Lioma
While personalised recommendations are successful in domains like retail, where large volumes of user feedback on items are available, the generation of automatic recommendations i…
Corrected Evaluation Results of the NTCIR WWW-2, WWW-3, and WWW-4 English Subtasks
Tetsuya Sakai, Sijie Tao, Maria Maistro +7
Unfortunately, the official English (sub)task results reported in the NTCIR-14 WWW-2, NTCIR-15 WWW-3, and NTCIR-16 WWW-4 overview papers are incorrect due to noise in the official…
repro_eval: A Python Interface to Reproducibility Measures of System-oriented IR Experiments
Timo Breuer, Nicola Ferro, Maria Maistro +1
In this work we introduce repro_eval - a tool for reactive reproducibility studies of system-oriented information retrieval (IR) experiments. The corresponding Python package provi…