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Hybrid tag recommendation for social annotation systems

Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin Burke
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
Tag recommenders in such systems assist users in finding appropriate tags for resources and help consolidate annotations across all users and resources.  ...  Social annotation systems allow users to annotate resources with personalized tags and to navigate large and complex information spaces without the need to rely on predefined hierarchies.  ...  TAG RECOMMENDATION This section begins with a discussion of the data models for a social annotation system.  ... 
doi:10.1145/1871437.1871543 dblp:conf/cikm/GemmellSMB10 fatcat:6cquugopcndrxe3nnrwvucg4fu

Resource recommendation in social annotation systems: A linear-weighted hybrid approach

Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin Burke
2012 Journal of computer and system sciences (Print)  
For these reasons, researchers have sought to apply the techniques of recommender systems to deliver personalized views of social annotation systems.  ...  To date, most efforts have concentrated on the problem of tag recommendation -personalized suggestions for possible annotations.  ...  Probability models have been applied to social annotation systems for both tag recommendation [28] and resource recommendation [29] .  ... 
doi:10.1016/j.jcss.2011.10.006 fatcat:igzwkksfqzcx5fkwpbwbemcrti

Tag-Based Resource Recommendation in Social Annotation Applications [chapter]

Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin Burke
2011 Lecture Notes in Computer Science  
In this paper, we examine the specific case of tag-based resource recommendation and propose a linear-weighted hybrid for the task.  ...  Many researchers have concentrated on the important problem of tag recommendation. Less attention has been paid to the recommendation of resources in the context of social annotation systems.  ...  For these reasons, recommender systems, which can take into account the user's interests and context, have much to offer social annotation systems.  ... 
doi:10.1007/978-3-642-22362-4_10 fatcat:jtq7jdgzsnb6jfhlr3ng4f4ueq

Recommendation by Example in Social Annotation Systems [chapter]

Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin Burke
2011 Lecture Notes in Business Information Processing  
Second, the manner in which users interact with social annotation systems vary producing datasets with variable characteristics and requiring different recommendation strategies to best satisfy their needs  ...  In this paper this task is considered as a function available within a social annotation system offering new ways to model both users and resources.  ...  Conclusion In this work we have investigated recommendation by example for use in social annotation systems.  ... 
doi:10.1007/978-3-642-23014-1_18 fatcat:ewx3y6q5zfcwxg37x2mpijljie

Hybrid Recommendation in Heterogeneous Networks [chapter]

Robin Burke, Fatemeh Vahedian, Bamshad Mobasher
2014 Lecture Notes in Computer Science  
Typically, researchers focus on a limited set of relations (for example, person to person ties for user recommendation or annotations in social tagging recommendation).  ...  Compared to prior work with shorter metapaths, we show that a hybrid composed of components using longer metapaths yields improvements in recommendation diversity without loss of accuracy on social tagging  ...  Resource recommendation is the task of identifying items of interest for a user in social tagging system based on tagging behavior.  ... 
doi:10.1007/978-3-319-08786-3_5 fatcat:fa2wwssvkja53k3crnoay2bczu

Social Web Recommendation using Metapaths

Robin D. Burke, Fatemeh Vahedian
2013 ACM Conference on Recommender Systems  
Typically, researchers focus on a limited set of relations (for example, person to person ties for user recommendation or annotations in social tagging recommendation).  ...  A challenge for social web recommendation is make the most effective use of a diverse set of relations.  ...  For example, [10] shows a LastFM music recommendation based on combination of social data and annotation system.  ... 
dblp:conf/recsys/BurkeV13 fatcat:skr53jnp4zg2pnkykn5k4lyhe4

An IR-Based Approach for Tag Recommendation

Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2010 Italian Information Retrieval Workshop  
In this paper we present a system, called STaR, that implements an IR-based approach for tag recommendation.  ...  Furthermore, since each user has a typical manner to label resources, a tag recommender might exploit this information to weigh more the tags she already used to annotate similar resources.  ...  STAR: A SOCIAL TAG RECOMMENDER SYSTEM STaR (Social Tag Recommender) is a content-based tag recommender system, developed at the University of Bari.  ... 
dblp:conf/iir/MustoNGLS10 fatcat:uzgezjdcbvdyhbaie3ldibjvpu

A New Hybrid Popular Model for Personalized Tag Recommendation

Jing Wang, Nianlong Luo
2016 Journal of Computers  
Users use a social tagging system to effectively mark web resources with personalized tags, which can help them organize and share their items easily.  ...  In this work, we put forward a new model IBHP to recommend personalized tags for users. We evaluate our model on a real-world dataset collected on Delicious 1 .  ...  It's difficult for users to seek the resources effectively. Therefore, recommender systems are applied in social websites [1] .  ... 
doi:10.17706/jcp.11.2.116-123 fatcat:fufq3x6wzzhczmdd7tan5omvge

Leveraging Semantic Similarity for Folksonomy-Based Recommendation

Daniela Godoy, Gustavo Rodriguez, Franco Scavuzzo
2014 IEEE Internet Computing  
For recommending interesting resources, such as Web pages or pictures available in social tagging systems, assessing their similarity with user profiles is crucial.  ...  Experiments carried out with data from two social sites showed that associating semantics to tags results in more accurate similarities among elements in tagging systems and, consequently, enhances recommendations  ...  In fact, multiple recommender systems have emerged for social tagging sites.  ... 
doi:10.1109/mic.2013.26 fatcat:yjmdupwwlnctjl2dqtyrufagda

Social View Based User Modeling for Recommendation in Tagging Systems by Association Rules

Keqin He, Liang He, Xin Lin, Wei Lu
2010 2010 2nd International Workshop on Intelligent Systems and Applications  
Algorithms of personalized recommendations for tags and items are presented. Also experimental results of using the profile we proposed are discussed.  ...  Social tagging systems such as Facebook, YouTube, del.icio.us, Flickr become popular recent years and have achieved widespread success.  ...  This is the idea of hybrid personal view and social view for user profiling.  ... 
doi:10.1109/iwisa.2010.5473246 fatcat:mlwoztlhffdspj6j7al4a7podi

A study of heterogeneity in recommendations for a social music service

Alejandro Bellogín, Iván Cantador, Pablo Castells
2010 Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems - HetRec '10  
Aiming to identify which are the sources of information (ratings, tags, social contacts, etc.) most valuable for recommendation, we evaluate a number of content-based, collaborative filtering and social  ...  The obtained results show that, in Last.fm, social tagging and explicit social networking information provide effective and heterogeneous item recommendations.  ...  In social tagging systems, such as Delicious 2 , Flickr 3 or Last.fm, users annotate/tag resources (Web pages, photos, music tracks, etc.) for the purpose of personal multimedia content management, browsing  ... 
doi:10.1145/1869446.1869447 fatcat:o5xusuzo3jgjfpj7557wwmwlze

Towards a folksonomy graph-based context-aware recommender system of annotated books

Sara Qassimi, El Hassan Abdelwahed, Meriem Hafidi, Aimad Qazdar
2021 Journal of Big Data  
In this regard, this article presents a folksonomy graphs based context-aware recommender system (CARS) of annotated books.  ...  Besides, the collaborative tagging gathers learners' opinions, thus, provides more comprehensible recommendations.  ...  We compute Precision P1 for our proposed approach and Precision P2 for hybridbased recommender system (hybrid based-RS), Recall R1 for our proposed approach, and Recall R2 for hybrid based-RS.  ... 
doi:10.1186/s40537-021-00457-3 fatcat:iwudkpm6gfeqti3p2wmmcgb4oy

A hybrid approach to item recommendation in folksonomies

Robert Wetzker, Winfried Umbrath, Alan Said
2009 Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval - ESAIR '09  
The inclusion of tags reduces known collaborative filtering problems related to overfitting and allows for higher quality recommendations.  ...  In this paper we consider the problem of item recommendation in collaborative tagging communities, so called folksonomies, where users annotate interesting items with tags.  ...  Our approach is thus algorithmically related to previously presented work on hybrid recommender systems that combine collaborative and content-based models for better recommendation quality.  ... 
doi:10.1145/1506250.1506255 fatcat:lk6ejnxo7bhy3lklfrxc6pikiq

Recommendation in the Social Web

Robin Burke, Jonathan Gemmell, Andreas Hotho, Robert Jäschke
2011 The AI Magazine  
At the same time, the diversity and complexity of the data has meant new challenges for researchers in recommendation.  ...  Recommender systems are a means of personalizing the presentation of information to ensure that users see the items most relevant to them.  ...  In the context of the social web, hybrids have been applied most notably to social annotation systems, especially tag and item recommendation.  ... 
doi:10.1609/aimag.v32i3.2373 fatcat:vaui64rdavhsjeue3kp22cdwia

Personalized Geolocation Image Tagging On Social Media

Abhjit V., Anuradha S.
2019 International Journal of Computer Applications  
In this paper personalized tags recommendation task are focused and userpreferences, geo-location-specific tags are identified to relate community.  ...  Social tagging of personalized photo is to publically share photo o social sites.  ...  But the developed system does not work well for the images with noisy tags. Adam Rae developed tag recommendation system to suggest the additional tag for partially annotated images [21] .  ... 
doi:10.5120/ijca2019918388 fatcat:e245ai5pfvddvktvdcuvjdsy3e
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