On-line Algorithms in Machine Learning
Developments from a June 1996 seminar on Online algorithms: the state of the art
Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
Exploring folksonomy for personalized search
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
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Tag Recommendations in Folksonomies
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Tag recommendations based on tensor dimensionality reduction
Proceedings of the 2008 ACM conference on Recommender systems
Personalized, interactive tag recommendation for flickr
Proceedings of the 2008 ACM conference on Recommender systems
A sparse gaussian processes classification framework for fast tag suggestions
Proceedings of the 17th ACM conference on Information and knowledge management
Nereau: a social approach to query expansion
Proceedings of the 10th ACM workshop on Web information and data management
Proceedings of the Second ACM International Conference on Web Search and Data Mining
The recurrence dynamics of social tagging
Proceedings of the 18th international conference on World wide web
Socially filtered web search: an approach using social bookmarking tags to personalize web search
Proceedings of the 2009 ACM symposium on Applied Computing
Collaborative filtering with temporal dynamics
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning optimal ranking with tensor factorization for tag recommendation
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Exploring social tagging graph for web object classification
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Personalized tag recommendation using graph-based ranking on multi-type interrelated objects
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Pairwise interaction tensor factorization for personalized tag recommendation
Proceedings of the third ACM international conference on Web search and data mining
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Exploiting session-like behaviors in tag prediction
Proceedings of the 20th international conference companion on World wide web
Semantic tag recommendation using concept model
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Leveraging collaborative tagging for web item design
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
HMM-CARe: Hidden Markov Models for context-aware tag recommendation in folksonomies
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Integrating temporal usage pattern into personalized tag prediction
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Using program synthesis for social recommendations
Proceedings of the 21st ACM international conference on Information and knowledge management
An approach to social recommendation for context-aware mobile services
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Connecting comments and tags: improved modeling of social tagging systems
Proceedings of the sixth ACM international conference on Web search and data mining
Exploratory mining of collaborative social content
Proceedings of the 2013 Sigmod/PODS Ph.D. symposium on PhD symposium
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Social tagging systems have become increasingly popular for sharing and organizing web resources. Tag prediction is a common feature of social tagging systems. Social tagging by nature is an incremental process, meaning that once a user has saved a web page with tags, the tagging system can provide more accurate predictions for the user, based on user's incremental behaviors. However, existing tag prediction methods do not consider this important factor, in which their training and test datasets are either split by a fixed time stamp or randomly sampled from a larger corpus. In our temporal experiments, we perform a time-sensitive sampling on an existing public dataset, resulting in a new scenario which is much closer to "real-world". In this paper, we address the problem of tag prediction by proposing a probabilistic model for personalized tag prediction. The model is a Bayesian approach, and integrates three factors - ego-centric effect, environmental effects and web page content. Two methods - both intuitive calculation and learning optimization - are provided for parameter estimation. Pure graphbased methods which may have significant constraints (such as every user, every item and every tag has to occur in at least p posts), cannot make a prediction in most of "real world" cases while our model improves the F-measure by over 30% compared to a leading algorithm, in our "real-world" use case.