Information retrieval system evaluation: effort, sensitivity, and reliability
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
AutoTag: a collaborative approach to automated tag assignment for weblog posts
Proceedings of the 15th international conference on World Wide Web
Flickr tag recommendation based on collective knowledge
Proceedings of the 17th international conference on World Wide Web
Recommending Tags for Pictures Based on Text, Visual Content and User Context
ICIW '08 Proceedings of the 2008 Third International Conference on Internet and Web Applications and Services
Real-time automatic tag recommendation
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Tag Recommendations in Folksonomies
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Extending Folksonomies for Image Tagging
WIAMIS '08 Proceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services
Personalized, interactive tag recommendation for flickr
Proceedings of the 2008 ACM conference on Recommender systems
On social networks and collaborative recommendation
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Toponym resolution in social media
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Combining interaction and content for feedback-based ranking
IRFC'11 Proceedings of the Second international conference on Multidisciplinary information retrieval facility
Local metric learning for tag recommendation in social networks
Proceedings of the 11th ACM symposium on Document engineering
Using tag recommendations to homogenize folksonomies in microblogging environments
SocInfo'11 Proceedings of the Third international conference on Social informatics
Predicting semantic annotations on the real-time web
Proceedings of the 23rd ACM conference on Hypertext and social media
Assistive tagging: A survey of multimedia tagging with human-computer joint exploration
ACM Computing Surveys (CSUR)
Improving tag recommendation using few associations
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
Identifying Influential Taggers in Trust-Aware Recommender Systems
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Tag Ranking by Linear Relational Neighbourhood Propagation
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Landmark image annotation using textual and geolocation metadata
Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
Personalized tag recommendation based on generalized rules
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining
Rank-mediated collaborative tagging recommendation service using video-tag relationship prediction
Information Systems Frontiers
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In this paper we address the task of recommending additional tags to partially annotated media objects, in our case images. We propose an extendable framework that can recommend tags using a combination of different personalised and collective contexts. We combine information from four contexts: (1) all the photos in the system, (2) a user's own photos, (3) the photos of a user's social contacts, and (4) the photos posted in the groups of which a user is a member. Variants of methods (1) and (2) have been proposed in previous work, but the use of (3) and (4) is novel. For each of the contexts we use the same probabilistic model and Borda Count based aggregation approach to generate recommendations from different contexts into a unified ranking of recommended tags. We evaluate our system using a large set of real-world data from Flickr. We show that by using personalised contexts we can significantly improve tag recommendation compared to using collective knowledge alone. We also analyse our experimental results to explore the capabilities of our system with respect to a user's social behaviour.