Proceedings of the 6th international conference on Intelligent user interfaces
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Image Categorization by Learning and Reasoning with Regions
The Journal of Machine Learning Research
Optimizing web search using web click-through data
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Evaluating implicit measures to improve web search
ACM Transactions on Information Systems (TOIS)
Accurately interpreting clickthrough data as implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Learning Object Categories from Google"s Image Search
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Co-active intelligence for image retrieval
Proceedings of the 13th annual ACM international conference on Multimedia
HT06, tagging paper, taxonomy, Flickr, academic article, to read
Proceedings of the seventeenth conference on Hypertext and hypermedia
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search
ACM Transactions on Information Systems (TOIS)
The complex dynamics of collaborative tagging
Proceedings of the 16th international conference on World Wide Web
Making colors worth more than a thousand words
Proceedings of the 2008 ACM symposium on Applied computing
Using the wisdom of the crowds for keyword generation
Proceedings of the 17th international conference on World Wide Web
Flickr tag recommendation based on collective knowledge
Proceedings of the 17th international conference on World Wide Web
Using clicks as implicit judgments: expectations versus observations
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Investigating the effectiveness of clickthrough data for document reordering
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Classifying Images with Image and Text Search Clickthrough Data
AMT '09 Proceedings of the 5th International Conference on Active Media Technology
Implicit association via crowd-sourced coselection
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Reliability and effectiveness of clickthrough data for automatic image annotation
Multimedia Tools and Applications
Evaluating implicit judgments from image search clickthrough data
Journal of the American Society for Information Science and Technology
Discovering semantic associations from web search interactions
Proceedings of the 24th ACM Conference on Hypertext and Social Media
Finding synonyms and other semantically-similar terms from coselection data
AWC '13 Proceedings of the First Australasian Web Conference - Volume 144
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In this paper we look at how images can be labelled as a result of click throughs from searches. One approach acts as a filter on image searches specifically, while the other approach propagates labels to images from their containing pages, where those pages were labelled themselves using clickthrough as a filter on text search. Then the paper reports on an experiment where users ranked for relevance six methods for labelling images, comparing the two clickthrough-based methods with flickr's amateur explicit labelling, Getty's professional explicit labelling, Google's standard image search, and the new Google Image Labeller. As well as comparing the accuracy of the proposed image labelling methods and discovering that automatic methods outperform explicit human labelling methods, the experiment suggests clickthrough data is reliable with very few clicks for image classification purposes.