User-controllable personalization: A case study with SetFusion

Parra, Denis; Brusilovsky, Peter

doi:10.1016/j.ijhcs.2015.01.007

Cited by 84 publications

(37 citation statements)

References 38 publications

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“…In our pilot study, we explored to what extent users were able to explore a diverse space of conference a endees by using a controlled fusion of several focused recommender engines, an approach that we successfully used in the past [18]. Figure 1 presents a screenshot of the pilot study interface.…”

Section: E Pilot Studymentioning

confidence: 99%

Leveraging Interfaces to Improve Recommendation Diversity

Tsai

Brusilovsky

2017

Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization

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Increasing diversity in the output of a recommender system is an active research question for solving a long-tail issue. Most of the current approaches have focused on ranked list optimization to improve recommendation diversity. However, li le is known about the e ect that a visual interface can have on this issue. is paper shows that a multidimensional visualization promotes diversity of social exploration in the context of an academic conference. Our study shows a signi cant di erence in the exploration pa ern between ranked list and visual interfaces. e results show that a visual interface can help the user explore a a more diverse set of recommended items.

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Section: E Pilot Studymentioning

confidence: 99%

Leveraging Interfaces to Improve Recommendation Diversity

Tsai

Brusilovsky

2017

Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization

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“…Conference Explorer (Windhager, Smuc, & Zenk, 2014) and Altmetrics (Kraker, Weißensteiner, & Brusilovsky, 2014) suggested different versions of topic-based visualization, while TalkExplorer (Verbert, Parra-Santander, Brusilovsky, & Duval, 2013) and SetFusion (Parra & Brusilovsky, 2015) explored two versions of set-based visualizations. In this context, the visualization used by CN3 could be classified as time-based.…”

Section: Information Visualization For Conferencesmentioning

confidence: 99%

Linking information and people in a social system for academic conferences

Brusilovsky

López

et al. 2016

New Review of Hypermedia and Multimedia

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This paper investigates the feasibility of maintaining a social information system to support attendees at an academic conference. The main challenge of this work was to create an infrastructure where users' social activities, such as bookmarking, tagging, and social linking could be used to enhance user navigation and maximize the users' ability to locate two important types of information in conference settings: presentations to attend and attendees to meet. We developed Conference Navigator 3, a social conference support system that integrates a conference schedule planner with a social linking service. We examined its potential and functions in the context of a mediumscale academic conference. In this paper, we present the design of the system's socially enabled features and report the results of a conference-based study. Our study demonstrates the feasibility of social information systems for supporting academic conferences. Despite the low number of potential users and the short timeframe in which conferences took place, the usage of the system was high enough to provide sufficient data for social mechanisms. The study shows that most critical social features were highly appreciated and used, and provides direction for further research. ARTICLE HISTORY

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“…An interactive interface has been proved useful to gain the user's acceptance and extend the controllability, and interpretability of recommender systems beyond the ranked list. For example, a user can adjust the slider to change the preference, profile, or source weighting for inspecting or filtering the recommended items [5,1]. In other words, the interface is designed to allow a user to fine-tune their preferences with real-time feedback.…”

Section: Introductionmentioning

confidence: 99%

An Interactive and Interpretable Interface for Diversity in Recommender Systems

Tsai

2017

Companion Proceedings of the 22nd International Conference on Intelligent User Interfaces

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Offering diversity in the output of a recommender system is an active research question. Most of the current approaches focus on Top-N optimization, which results in poor user insight and accuracy trade-off. However, little is known about how an interactive interface can help with this issue. This pilot study shows that a multidimensional visualization promotes diversity among the recommended items. This finding motivated future work to provide diversity in recommender system by visualizing multivariate data through an interpretable and interactive interface.

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User-controllable personalization: A case study with SetFusion

Cited by 84 publications

References 38 publications

Leveraging Interfaces to Improve Recommendation Diversity

Leveraging Interfaces to Improve Recommendation Diversity

Linking information and people in a social system for academic conferences

An Interactive and Interpretable Interface for Diversity in Recommender Systems

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