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Automatic tag recommendation algorithms for social recommender systems

Yang Song, Lu Zhang, C. Lee Giles
2011 ACM Transactions on the Web  
Experiments on real-world data from Del.icio.us, CiteULike and BibSonomy examine the quality of tag recommendation as well as the efficiency of our recommendation algorithms.  ...  From our empirical observation of two large-scale data sets, we first argue that the user-centered approach for tag recommendation is not very effective in practice.  ...  Our Contributions In this paper, we propose two frameworks for addressing automatic tag recommendation for social recommender systems.  ... 
doi:10.1145/1921591.1921595 fatcat:zcgm6g7esbemvidfbo64halygq

Socially-aware video recommendation using users' profiles and crowdsourced annotations

Marco Bertini, Alberto Del Bimbo, Andrea Ferracani, Francesco Gelli, Daniele Maddaluno, Daniele Pezzatini
2013 Proceedings of the 2nd international workshop on Socially-aware multimedia - SAM '13  
We propose a sociallyaware framework for video commenting, sharing and interest discovery that combines recommendation algorithms, clustering techniques, tools for video tagging and evaluation of tag semantic  ...  The system allows to connect to friends, curate a personal profile and get video recommendations through a social network.  ...  The authors thank Daniele Daveri Niederwinkler for his contribution to the design of the graphical user interface, and Tiberio Uricchio for his technical help on Hadoop/Mahout.  ... 
doi:10.1145/2509916.2509924 dblp:conf/mm/BertiniBFGMP13a fatcat:rxohbf3cmjc6fb7egtzyt4m2ry

Tag Recommendation Based on Collaborative Filtering and Text Similarity

Chuanbao Wang, Fang Yuan, Ying Yun
2012 International Journal of Education and Management Engineering  
This system can automatically recommend some relevant tags for the new uploaded resources and thus the users can freely select tags from the system.  ...  In current social tagging system, users can freely add tags for the uploaded resources, which caused a problem that many tags could not describe the resource properly and even have some spelling errors  ...  At present, many systems have generated the appropriate tags automatically for online resources.  ... 
doi:10.5815/ijeme.2012.06.02 fatcat:ldcfpe4j3zffrhtl62x55wbfny

Bringing the Associative Ability to Social Tag Recommendation

Miao Fan, Yingnan Xiao, Qiang Zhou
2012 Workshop on Graph-based Methods for Natural Language Processing  
In this paper, we proposed a novel approach for bringing the associative ability to model the social tagging behavior and then to enhance the performance of automatic tag recommendation.  ...  Social tagging systems, which allow users to freely annotate online resources with tags, become popular in the Web 2.0 era.  ...  The authors would like to thank Yi Luo for his insightful suggestions.  ... 
dblp:conf/textgraphs/FanXZ12 fatcat:qb5rfuw53nfstaf2x7o5oqb3eq

Community Detection In The Collaborative Web

Lylia Abrouk, David Gross-Amblard, Nadine Cullot
2010 International Journal of Managing Information Technology  
Most of the existing social network systems require from their users an explicit statement of their friendship relations.  ...  In this paper we focus on implicit Web communities and present an approach to automatically detect them, based on the user's resources manipulations.  ...  CONCLUSION In this work we proposed a dynamic method for automatic community detection and automatic tagging of new resources.  ... 
doi:10.5121/ijmit.2010.2401 fatcat:x4jibmr5kjhavmxs5hjyxui7ve

COMMUNITY DETECTION IN THE COLLABORATIVE WEB

Lylia Abrouk, David Gross-Amblard, Nadine Cullot
2010 Zenodo  
Most of the existing social network systems require from their users an explicit statement of their friendship relations.  ...  In this paper we focus on implicit Web communities and present an approach to automatically detect them, based on user's resource manipulations.  ...  CONCLUSION In this work we proposed a dynamic method for automatic community detection and automatic tagging of new resources.  ... 
doi:10.5281/zenodo.3269135 fatcat:jnak7fihzbdcno7oz2jzgsh47y

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.  ...  Through both textual analysis and social the algorithms collect features for tags of each user.  ... 
doi:10.5120/ijca2019918388 fatcat:e245ai5pfvddvktvdcuvjdsy3e

I'm feeling LoCo: A Location Based Context Aware Recommendation System [chapter]

Norma Saiph Savage, Maciej Baranski, Norma Elva Chavez, Tobias Höllerer
2012 Lecture Notes in Geoinformation and Cartography  
Research in ubiquitous location recommendation systems has focused on automatically inferring a user's preferences while little attention has been devoted to the recommendation algorithms.  ...  Our system learns user preferences by mining a person's social network profile.  ...  Automatic Recollection Of User Preferences For limiting the time spent on questionnaires, user preferences are automatically obtained by mining the user's social network profile.  ... 
doi:10.1007/978-3-642-24198-7_3 fatcat:m44uxfxnlnbwjdvaxhli27p3ry

A novel framework for collaborative video recommendation, interest discovery and friendship suggestion based on semantic profiling

Marco Bertini, Alberto Del Bimbo, Andrea Ferracani, Francesco Gelli, Daniele Maddaluno, Daniele Pezzatini
2013 Proceedings of the 21st ACM international conference on Multimedia - MM '13  
In this demo we show a system for video commenting, sharing and interest discovery that combines recommendation algorithms, clustering techniques, tools for video tagging and evaluation of semantic resources  ...  Two important challenges for social networks are the creation of targeted and personalized content for their users, selecting the most interesting material from the huge amount of user-generated content  ...  Facebook) and user's activity analysis, like semantic tagging, to generate targeted services for the users of the social network; this is achieved using a module for semiautomatic user profiles generation  ... 
doi:10.1145/2502081.2502264 dblp:conf/mm/BertiniBFGMP13 fatcat:ot5bda3k3jetbahfjoio5z2ucm

Automatic Generation of Social Tags for Music Recommendation

Douglas Eck, Paul Lamere, Thierry Bertin-Mahieux, Stephen Green
2007 Neural Information Processing Systems  
The resulting automatic tags (or autotags) furnish information about music that is otherwise untagged or poorly tagged, allowing for insertion of previously unheard music into a social recommender.  ...  Autotags can also be used to smooth the tag space from which similarities and recommendations are made by providing a set of comparable baseline tags for all tracks in a recommender system.  ...  Using social tags for recommendation As the amount of online music grows, automatic music recommendation becomes an increasingly important tool for music listeners to find music that they will like.  ... 
dblp:conf/nips/EckLBG07 fatcat:sghfw3lcbnhwjdsprnichbskim

Automatic Clustering of Social Tag using Community Detection

Weisen Pan, Shizhan Chen, Zhiyong Feng
2013 Applied Mathematics & Information Sciences  
tag-based service recommendation.  ...  Automatically clustering social tags into semantic communities would greatly boost the ability of Web services search engines to retrieve the most relevant ones at the same time improve the accuracy of  ...  Other clustering algorithms have been proposed for automatically identifying tag types.  ... 
doi:10.12785/amis/070235 fatcat:25em2aab2zhvzkvdulgox5jbui

An intelligent system for semi-automatic evolution of ontologies

Maryam Ramezani, Hans Friedrich Witschel
2010 2010 5th IEEE International Conference Intelligent Systems  
We use the Wikipedia category hierarchy to evaluate our algorithm and our experimental results show that the proposed algorithm produces high quality recommendations.  ...  Ontologies are an important part of the Semantic Web as well as of many intelligent systems.  ...  For example, in social tagging systems (also called collaborative tagging systems or folksonomies), users can describe resources with freely chosen keywords called "tags".  ... 
doi:10.1109/is.2010.5548403 dblp:conf/is/RamezaniW10 fatcat:n3heejxbarcfjbqwmkngjpyjfa

Design and Implementation of an Online Social Network with Face Recognition

Ray K. C. Lai, Jack C. K. Tang, Angus K. Y. Wong, Philip I. S. Lei
2010 Journal of Advances in Information Technology  
With the technology, friend relationship can be established without the need of having the text-based information of a user, friend recommendation algorithm can be more accurate, and face tagging can be  ...  done automatically.  ...  algorithm Tagging a person Manually Automatically TABLE II.  ... 
doi:10.4304/jait.1.1.38-42 fatcat:niqhvvyrk5gjfaoq3uhqg3fzum

Social Tagging System for Community Detecting using NLP Technique

Mrs. C. Gomathi
2018 International Journal for Research in Applied Science and Engineering Technology  
Social tagging systems for community detecting in social networks, users usually have different intentions when tagging.  ...  recommendation.  ...  focus on recommending groups to users in social tagging systems.  ... 
doi:10.22214/ijraset.2018.4279 fatcat:qldlijoa2rb2jmgty44hjh4sum

A Survey on Decision Support Systems in Social Media

M. Thangaraj, R. Indra
2015 International Journal of Computer Applications Technology and Research  
Recommendations in social web are used to personalize the web [20] . Social Tagging System is one type of social media.  ...  In this paper we present the survey of various recommendations in Social Tagging Systems (STSs) like tag, item, user and unified recommendations along with semantic web and also discussed about major thrust  ...  Combining Content and Relation Analysis for Recommendation [34] One recommendation system for social tagging system combines content and relation analysis in a single model.  ... 
doi:10.7753/ijcatr0409.1008 fatcat:zguexhxslvexxfpzdnnr2r4uma
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