21 citations · 22 across the 3 of their papers we have counts for
3 papers
Gender In Gender Out: A Closer Look at User Attributes in Context-Aware Recommendation
Manel Slokom, Özlem Özgöbek, Martha Larson
This paper studies user attributes in light of current concerns in the recommender system community: diversity, coverage, calibration, and data minimization. In experiments with a…
Exploring Deep Space: Learning Personalized Ranking in a Semantic Space
Jeroen B. P. Vuurens, Martha Larson, Arjen P. de Vries
Recommender systems leverage both content and user interactions to generate recommendations that fit users' preferences. The recent surge of interest in deep learning presents new…
A Crowdsourcing Procedure for the Discovery of Non-Obvious Attributes of Social Image
Mark Melenhorst, María Menéndez Blanco, Martha Larson
Research on mid-level image representations has conventionally concentrated relatively obvious attributes and overlooked non-obvious attributes, i.e., characteristics that are not…