8 citations · 29 across the 15 of their papers we have counts for
4 papers · 1 filter
Whom do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation
Kathrin Wardatzky, Oana Inel, Luca Rossetto +1
Adding explanations to recommender systems is said to have multiple benefits, such as increasing user trust or system transparency. Previous work from other application areas sugge…
Eliciting User Preferences for Personalized Explanations for Video Summaries
Oana Inel, Nava Tintarev, Lora Aroyo
Video summaries or highlights are a compelling alternative for exploring and contextualizing unprecedented amounts of video material. However, the summarization process is commonly…
Empirical Methodology for Crowdsourcing Ground Truth
Anca Dumitrache, Oana Inel, Benjamin Timmermans +4
The process of gathering ground truth data through human annotation is a major bottleneck in the use of information extraction methods for populating the Semantic Web. Crowdsourcin…
CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement
Anca Dumitrache, Oana Inel, Lora Aroyo +2
Typically crowdsourcing-based approaches to gather annotated data use inter-annotator agreement as a measure of quality. However, in many domains, there is ambiguity in the data, a…