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Results 11 - 20
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931
Tag Recommendation for Photos
, 2009
"... Abstract. We present a real-time recommendation system for photo annotation that can be used in Flickr. We start with a database of 25000 images and 24 carefully chosen tags. We first extract global features that represent the shape of the image. We then train one classifier per tag to detect if the ..."
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Abstract. We present a real-time recommendation system for photo annotation that can be used in Flickr. We start with a database of 25000 images and 24 carefully chosen tags. We first extract global features that represent the shape of the image. We then train one classifier per tag to detect
An analysis of tag-recommender evaluation procedures
- In Proceedings of the 7th ACM conference on Recommender systems
, 2013
"... Since the rise of collaborative tagging systems on the web, the tag recommendation task – suggesting suitable tags to users of such systems while they add resources to their col-lection – has been tackled. However, the (offline) evalua-tion of tag recommendation algorithms usually suffers from diffi ..."
Abstract
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Cited by 5 (0 self)
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Since the rise of collaborative tagging systems on the web, the tag recommendation task – suggesting suitable tags to users of such systems while they add resources to their col-lection – has been tackled. However, the (offline) evalua-tion of tag recommendation algorithms usually suffers from
Tag Recommendations for SensorFolkSonomies
"... With the rising popularity of smart mobile devices, sensor data-based applications have become more and more popular. Their users record data during their daily routine or specifically for certain events. The application WideNoise Plus allows users to record sound samples and to annotate them with p ..."
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with perceptions and tags. The app documents and maps the soundscape all over the world. The procedure of recording and including the assignment of tags, has to be as easy-to-use as possible. We therefore discuss the application of tag recommender algorithms in this particular scenario. We show, that this task
Relational Classification for Personalized Tag Recommendation
"... Abstract. Folksonomy data is relational by nature, and therefore methods that directly exploit these relations are prominent for the tag recommendation problem. Relational methods have been successfully applied to areas in which entities are linked in an explicit manner, like hypertext documents and ..."
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Cited by 3 (1 self)
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Abstract. Folksonomy data is relational by nature, and therefore methods that directly exploit these relations are prominent for the tag recommendation problem. Relational methods have been successfully applied to areas in which entities are linked in an explicit manner, like hypertext documents
Learning Domain Ontology for Tag Recommendation
"... Recently, user tagging systems have grown in popularity on the web. The tagging process is quite simple for ordinary users, which contributes to its popularity. However, free vocabulary has lack of standardization and semantic ambiguity. It is possible to capture the semantics from user tagging and ..."
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and represent those in a form of ontology, but the application of the learned ontology for recommendation making has not been that flourishing. In this paper we discuss our approach to learn domain ontology from user tagging information and apply the extracted tag ontology in a pilot tag recommendation
TagEz: Flickr Tag Recommendation
"... User tagging of multimedia has emerged as the premier organizational tool for large sets of rapidly growing information. We present a tag prediction system for images on Flickr which combines both linguistic and vision features. We describe methods for building language models of tags on Flickr, sim ..."
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Cited by 2 (0 self)
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User tagging of multimedia has emerged as the premier organizational tool for large sets of rapidly growing information. We present a tag prediction system for images on Flickr which combines both linguistic and vision features. We describe methods for building language models of tags on Flickr
An IR-based approach to Tag Recommendation
"... Thanks to the continuous growth of collaborative platforms like YouTube, Flickr and Delicious, we are recently witnessing to a rapid evolution of web dynamics towards a more ‘social ’ vision, called Web 2.0. In this context collaborative tagging systems are rapidly emerging as one of the most promis ..."
Abstract
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Cited by 1 (0 self)
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that assist the user in the task of tagging are required. In this paper we present a system, called STaR, that implements an IR-based approach for tag recommendation.
Pairwise Interaction Tensor Factorization for Personalized Tag Recommendation
"... Tagging plays an important role in many recent websites. Recommender systems can help to suggest a user the tags he might want to use for tagging a specific item. Factorization models based on the Tucker Decomposition (TD) model have been shown to provide high quality tag recommendations outperformi ..."
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Cited by 72 (11 self)
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Tagging plays an important role in many recent websites. Recommender systems can help to suggest a user the tags he might want to use for tagging a specific item. Factorization models based on the Tucker Decomposition (TD) model have been shown to provide high quality tag recommendations
Automatic Tag Recommendation Algorithms for Social Recommender Systems
"... The emergence of Web 2.0 and the consequent success of social network websites such as del.icio.us and Flickr introduce us to a new concept called social bookmarking, or tagging in short. Tagging can be seen as the action of connecting a relevant user-defined keywordtoadocument,imageor video, which ..."
Abstract
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Cited by 12 (0 self)
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helps user to better organize and share their collections of interesting stuff. Withthe rapid growth of Web 2.0, tagged data is becoming more and more abundant on the social network websites. An interesting problem is how to automate the process of making tag recommendations to users when a new resource
Tag recommendations based on tensor dimensionality reduction
- In RecSys ’08: Proc. of the ACM Conference on Recommender systems, 43–50
, 2008
"... Social tagging is the process by which many users add metadata in the form of keywords, to annotate and categorize information items (songs, pictures, web links, products etc.). Collaborative tagging systems recommend tags to users based on what tags other users have used for the same items, aiming ..."
Abstract
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Cited by 54 (1 self)
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Social tagging is the process by which many users add metadata in the form of keywords, to annotate and categorize information items (songs, pictures, web links, products etc.). Collaborative tagging systems recommend tags to users based on what tags other users have used for the same items, aiming
Results 11 - 20
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931
