Publication statistics

Pub. period:2009-2010
Pub. count:5
Number of co-authors:3



Co-authors

Number of publications with 3 favourite co-authors:

Shilad Sen:4
John Riedl:4
Matthew Soukup:1

 

 

Productive colleagues

Jesse Vig's 3 most productive colleagues in number of publications:

John Riedl:61
Shilad Sen:14
Matthew Soukup:1
 
 
 
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Jesse Vig

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Publications by Jesse Vig (bibliography)

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2010
 
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Vig, Jesse, Soukup, Matthew, Sen, Shilad and Riedl, John (2010): Tag expression: tagging with feeling. In: Proceedings of the 2010 ACM Symposium on User Interface Software and Technology 2010. pp. 323-332.

In this paper we introduce tag expression, a novel form of preference elicitation that combines elements from tagging and rating systems. Tag expression enables users to apply affect to tags to indicate whether the tag describes a reason they like, dislike, or are neutral about a particular item. We present a user interface for applying affect to tags, as well as a technique for visualizing the overall community's affect. By analyzing 27,773 tag expressions from 553 users entered in a 3-month period, we empirically evaluate our design choices. We also present results of a survey of 97 users that explores users' motivations in tagging and measures user satisfaction with tag expression.

© All rights reserved Vig et al. and/or their publisher

 
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Vig, Jesse (2010): Intelligent tagging interfaces: beyond folksonomy. In: Proceedings of the 2010 ACM Symposium on User Interface Software and Technology 2010. pp. 371-374.

This paper summarizes our work on using tags to broaden the dialog between a recommender system and its users. We present two tagging applications that enrich this dialog: tagsplanations are tag-based explanations of recommendations provided by a system to its users, and Movie Tuner is a conversational recommender system that enables users to provide feedback on movie recommendations using tags. We discuss the design of both systems and the experimental methodology used to evaluate the design choices.

© All rights reserved Vig and/or his/her publisher

2009
 
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Vig, Jesse, Sen, Shilad and Riedl, John (2009): Tagsplanations: explaining recommendations using tags. In: Proceedings of the 2009 International Conference on Intelligent User Interfaces 2009. pp. 47-56.

While recommender systems tell users what items they might like, explanations of recommendations reveal why they might like them. Explanations provide many benefits, from improving user satisfaction to helping users make better decisions. This paper introduces tagsplanations, which are explanations based on community tags. Tagsplanations have two key components: tag relevance, the degree to which a tag describes an item, and tag preference, the user's sentiment toward a tag. We develop novel algorithms for estimating tag relevance and tag preference, and we conduct a user study exploring the roles of tag relevance and tag preference in promoting effective tagsplanations. We also examine which types of tags are most useful for tagsplanations.

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Sen, Shilad, Vig, Jesse and Riedl, John (2009): Learning to recognize valuable tags. In: Proceedings of the 2009 International Conference on Intelligent User Interfaces 2009. pp. 87-96.

Many websites use tags as a mechanism for improving item metadata through collective user effort. Users of tagging systems often apply far more tags to an item than a system can display. These tags can range in quality from tags that capture a key facet of an item, to those that are subjective, irrelevant, or misleading. In this paper we explore tag selection algorithms that choose the tags that sites display. Based on 225,000 ratings and survey responses, we conduct offline analyses of 21 tag selection algorithms. We select the three best performing algorithms from our offline analysis, and deploy them live on the MovieLens website to 5,695 users for three months. Based on our results, we offer tagging system designers advice about tag selection algorithms.

© All rights reserved Sen et al. and/or their publisher

 
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Sen, Shilad, Vig, Jesse and Riedl, John (2009): Tagommenders: connecting users to items through tags. In: Proceedings of the 2009 International Conference on the World Wide Web 2009. pp. 671-680.

Tagging has emerged as a powerful mechanism that enables users to find, organize, and understand online entities. Recommender systems similarly enable users to efficiently navigate vast collections of items. Algorithms combining tags with recommenders may deliver both the automation inherent in recommenders, and the flexibility and conceptual comprehensibility inherent in tagging systems. In this paper we explore tagommenders, recommender algorithms that predict users' preferences for items based on their inferred preferences for tags. We describe tag preference inference algorithms based on users' interactions with tags and movies, and evaluate these algorithms based on tag preference ratings collected from 995 MovieLens users. We design and evaluate algorithms that predict users' ratings for movies based on their inferred tag preferences. Our tag-based algorithms generate better recommendation rankings than state-of-the-art algorithms, and they may lead to flexible recommender systems that leverage the characteristics of items users find most important.

© All rights reserved Sen et al. and/or ACM Press

 
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Changes to this page (author)

03 Nov 2010: Modified
03 Nov 2010: Modified
09 Jul 2009: Modified
02 Jun 2009: Modified
02 Jun 2009: Added

Page Information

Page maintainer: The Editorial Team
URL: http://www.interaction-design.org/references/authors/jesse_vig.html

Publication statistics

Pub. period:2009-2010
Pub. count:5
Number of co-authors:3



Co-authors

Number of publications with 3 favourite co-authors:

Shilad Sen:4
John Riedl:4
Matthew Soukup:1

 

 

Productive colleagues

Jesse Vig's 3 most productive colleagues in number of publications:

John Riedl:61
Shilad Sen:14
Matthew Soukup:1
 
 
 
Jul 31

Design is the art of gradually applying constraints until only one solution remains.

-- Unknown

 
 

Featured chapter

Marc Hassenzahl explains the fascinating concept of User Experience and Experience Design. Commentaries by Don Norman, Eric Reiss, Mark Blythe, and Whitney Hess

User Experience and Experience Design !

 
 

Our Latest Books

Kumar and Herger 2013: Gamification at Work: Designing Engaging Business Software...
by Janaki Mythily Kumar and Mario Herger

 
Start reading

Whitworth and Ahmad 2013: The Social Design of Technical Systems: Building technologies for communities...
by Brian Whitworth and Adnan Ahmad

 
Start reading

Soegaard and Dam 2013: The Encyclopedia of Human-Computer Interaction, 2nd Ed....
by Mads Soegaard and Rikke Friis Dam

 
Start reading
 
 

Help us help you!