64 citations · 68 across the 4 of their papers we have counts for
Showing cs.IRShow all
2 papers · 1 filter
cs.IR2023
Improving Content Retrievability in Search with Controllable Query Generation
Gustavo Penha, Enrico Palumbo, Maryam Aziz +2
An important goal of online platforms is to enable content discovery, i.e. allow users to find a catalog entity they were not familiar with. A pre-requisite to discover an entity,…
cs.IR2018★ 3 cited
Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems
Diego Monti, Enrico Palumbo, Giuseppe Rizzo +1
In this paper, we present sequeval, a software tool capable of performing the offline evaluation of a recommender system designed to suggest a sequence of items. A sequence-based r…