Faceted metadata for image search and browsing
By Ka-Ping Yee, Kirsten Swearingen, Kevin Li, Marti A. Hearst. International Conference on Human Factors in Computing Systems, 2003
1,137 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/f6e4d44dfb73374d7a3b13549b927f75a6f9cc7e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Nava Tintarev
- Jia Li
- Judith Masthoff
- Jeffrey Heer
- James Ze Wang
- Ritendra Datta
- Dhiraj Joshi
- Dominik Moritz
Citations in the corpus
- A Theoretical Framework for Conversational Search (2017, background): “Systems may also correct the user’s query (“did you mean?”), suggest other queries (“try these related searches”) or provide faceted browsing in the results (“refine by”) [43].”
- Big Data and cloud computing: innovation opportunities and challenges (2017, background): “While metadata are essential for the integrity of data prove-nances (Singh et al. 2003; Yee et al. 2003), the challenge remains to automatically generate metadata to describe Big Data and relevant processes (Gantz and Reinsel 2012; Oguntimilehin and Ademola 2014).”
- Give and take: a study of consumer photo-sharing culture and practice (2007, background): “[19] or Yee [24]) may lessen the burden of tagging, they do not assist with the storytelling aspects of photo sharing that are so important to the Kodak Culture.”
- The perfect search engine is not enough: a study of orienteering behavior in directed search (2004, background): “Researchers have tried to support directed search by attempting to build a “perfect” search engine—i.e., one that returns exactly what is sought given a fully specified information need.”
- Designing and Evaluating Explanations for Recommender Systems (2011, background): “The recommender system can give a structure which displays trade-offs between items [49, 68].”
- Voyager 2: Augmenting Visual Analysis with Partial View Specifications (2017, background): “Exploratory search tools may employ interfaces such as faceted browsers [40] and dynamic queries [27] to let users focus on interested items.”
- Image retrieval: Ideas, influences, and trends of the new age (2008, methodology): “Innovative interface designs for Web image search have been explored in [Yee et al. 2003; Li et al. 2004].”
- What are you looking for?: an eye-tracking study of information usage in web search (2007, background): “) have been shown to be superior to traditional search interfaces for browsing tasks [25].”
- A Survey of Explanations in Recommender Systems (2007, methodology): “[38] used a multi-faceted approach for museum search and browsing.”
- Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations (2016, neutral): “Faceted browsing [47] is a popular approach for exploring collections in which users specify filters using metadata to find subsets of items sharing desired properties.”
- Automatically refining the wikipedia infobox ontology (2008, background): “attributes enable faceted browsing, a powerful and popular way to investigate sets of articles [36].”
- Explaining Recommendations: Design and Evaluation (2015, background): “The recommender system can give a structure which displays trade-offs between items [59, 88].”
- Stuff I've seen: a system for personal information retrieval and re-use (2003, background): “The presentation of faceted metadata developed by Hearst [31] and colleagues is also of interest.”
- Clustering versus faceted categories for information exploration (2006, methodology): “To date, both HFC and clustering are boutique search interfaces; they are applied and used primarily in domain-specific collections.”