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Context-based ranking in folksonomies

Fabian Abel, Matteo Baldoni, Cristina Baroglio, Nicola Henze, Daniel Krause, Viviana Patti
<span title="">2009</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rlbme3lpqzcqnmggrcv27szery" style="color: black;">Proceedings of the 20th ACM conference on Hypertext and hypermedia - HT &#39;09</a> </i> &nbsp;
We introduce the SocialHITS algorithm and present an experiment where we compare different algorithms for ranking users, tags, and resources in a contextualized way.  ...  In this paper we investigate how such tag-based queries, initialized by the clicking activity, can be enhanced with automatically produced contextual information so that the search result better fits to  ...  GRank GRank [3] is a group-sensitive ranking algorithm as well as GFolkRank. However, GRank is not based on FolkRank, but exploits group context folksonomy in a straightforward way.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1557914.1557951">doi:10.1145/1557914.1557951</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ht/AbelBBHKP09.html">dblp:conf/ht/AbelBBHKP09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3rpkytkonbdtdckmps7nusvbk4">fatcat:3rpkytkonbdtdckmps7nusvbk4</a> </span>
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Leveraging search and content exploration by exploiting context in folksonomy systems

Fabian Abel, Matteo Baldoni, Cristina Baroglio, Nicola Henze, Ricardo Kawase, Daniel Krause, Viviana Patti
<span title="">2010</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ts3gidg2trecnmehith3zn2ioy" style="color: black;">New Review of Hypermedia and Multimedia</a> </i> &nbsp;
In this article we present context-aware approaches for learning semantics and improve personalized information retrieval in tagging systems.  ...  We introduce the SocialHITS algorithm and present an experiment where we compare different algorithms for ranking users, tags, and resources in a contextualized way.  ...  In Section 3.2 we present different algorithms (mostly based on FolkRank) that leverage context folksonomies to improve ranking quality.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/13614568.2010.497193">doi:10.1080/13614568.2010.497193</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7ngasnz2hrccxmttcjvaywylga">fatcat:7ngasnz2hrccxmttcjvaywylga</a> </span>
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The Impact of Multifaceted Tagging on Learning Tag Relations and Search [chapter]

Fabian Abel, Nicola Henze, Ricardo Kawase, Daniel Krause
<span title="">2010</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
tagging facets for learning semantics within folksonomies.  ...  In this paper we present a model for multifaceted tagging, i.e. tagging enriched with contextual information. We present TagMe!  ...  In summary, the exploitation of context embedded in the folksonomy is beneficial for ranking resources.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-13489-0_7">doi:10.1007/978-3-642-13489-0_7</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2rrmct63c5hhdppcffk65e3fny">fatcat:2rrmct63c5hhdppcffk65e3fny</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180727195956/https://link.springer.com/content/pdf/10.1007%2F978-3-642-13489-0_7.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/94/36/9436e0e70fdb2575413ac881697861ea6871a996.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-13489-0_7"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

On the Effect of Group Structures on Ranking Strategies in Folksonomies [chapter]

Fabian Abel, Nicola Henze, Daniel Krause, Matthias Kriesell
<span title="">2009</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Weaving Services and People on the World Wide Web</a> </i> &nbsp;
In this paper, we investigate on the effect of grouping resources, i.e. creating sets of resources, and using this additional structure for search in folksonomies.  ...  Our experiments show that the quality of search result ranking can be significantly improved by introducing and exploiting the grouping of resources (onetailed t-Test, level of significance α = 0.05).  ...  Group Context-based Tags + Group Tag Propagation C.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-00570-1_14">doi:10.1007/978-3-642-00570-1_14</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/AbelHKK08.html">dblp:conf/www/AbelHKK08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wn3w7kdxrvatzaszecsrsxu57u">fatcat:wn3w7kdxrvatzaszecsrsxu57u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20130903204644/http://keg.cs.tsinghua.edu.cn/SWSM2008/regular%20papers/submission_1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/98/73/98735b58d4ada4a132189969511bfa2bafb7c331.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-00570-1_14"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Leveraging multi-faceted tagging to improve search in folksonomy systems

Fabian Abel, Ricardo Kawase, Daniel Krause
<span title="">2010</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rlbme3lpqzcqnmggrcv27szery" style="color: black;">Proceedings of the 21st ACM conference on Hypertext and hypermedia - HT &#39;10</a> </i> &nbsp;
In this paper we present ranking algorithms for folksonomy systems that exploit additional contextual information attached to tag assignments available. We evaluate the algorithms in the TagMe!  ...  In summary, the exploitation of context embedded in the folksonomy is beneficial for ranking resources.  ...  context folksonomy on search.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1810617.1810684">doi:10.1145/1810617.1810684</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ht/AbelKK10.html">dblp:conf/ht/AbelKK10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/m3niimk5a5b3bnc2s45w2pxnlm">fatcat:m3niimk5a5b3bnc2s45w2pxnlm</a> </span>
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Inferring user intent in web search by exploiting social annotations

Jose M. Conde, David Vallet, Pablo Castells
<span title="">2010</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ibcfmixrofb3piydwg5wvir3t4" style="color: black;">Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR &#39;10</a> </i> &nbsp;
In this paper, we present a folksonomy-based approach for implicit user intent extraction during a Web search process.  ...  We present a number of result re-ranking techniques based on this representation that can be applied to any Web search engine.  ...  To conclude, we have presented a number of approaches in order to evaluate folksonomy-based context representation techniques.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1835449.1835636">doi:10.1145/1835449.1835636</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigir/CondeVC10.html">dblp:conf/sigir/CondeVC10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fv7swm57drdv5lyowkte66rnde">fatcat:fv7swm57drdv5lyowkte66rnde</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20110704010535/http://ir.ii.uam.es/rim3/publications/sigir10.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bf/91/bf911ebeb0da4a5bcbe40bc3763e32b8442f4188.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1835449.1835636"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Mining Semantically Similar Tags from Delicious
딜리셔스에서 유사태그 추출에 관한 연구

Kwan Yi
<span title="2009-06-30">2009</span> <i title="Korean Society for Information Management"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sjrnafucwnfldo7lqfnuaaxtk4" style="color: black;">Journal of the Korean Society for information Management</a> </i> &nbsp;
We compared FolkSim to a cosine-based similarity method and observed that the top-ranked tags on the similar list generated by FolkSim tend to be among the best possible similar tags in given choices.  ...  We also observed that tag folksonomy and similar list resemble each other to a certain degree so that it possibly serves as an alternative outcome, especially in case the FolkSim-based list is unavailable  ...  In the co-occurrence-based graph, similarity between tags is based solely on the context-free tag occurrence, whereas in our approach, tag similarity is based on context-bounded tag relationship via resource  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3743/kosim.2009.26.2.127">doi:10.3743/kosim.2009.26.2.127</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nobro2bmxjat5fm2me3qrysm7u">fatcat:nobro2bmxjat5fm2me3qrysm7u</a> </span>
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Social Semantic Web at Work: Annotating and Grouping Social Media Content [chapter]

Fabian Abel, Nicola Henze, Daniel Krause
<span title="">2009</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/noh4d7uktraolega74eilgfv5u" style="color: black;">Lecture Notes in Business Information Processing</a> </i> &nbsp;
Web (LUPAS '10) [27] • Context-based ranking in folksonomies.  ...  . • Context-aware ranking algorithms in folksonomies. By F. Abel, N. Henze, and D. Krause.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-01344-7_15">doi:10.1007/978-3-642-01344-7_15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sjq4fgj4qzbwjipbyrvi32zxri">fatcat:sjq4fgj4qzbwjipbyrvi32zxri</a> </span>
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Semantic Enhancement of Social Tagging Systems [chapter]

Fabian Abel, Nicola Henze, Daniel Krause, Matthias Kriesell
<span title="2009-11-03">2009</span> <i title="Springer US"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jnmtkp5bt5cshadqr5jcirm3te" style="color: black;">Annals of Information Systems</a> </i> &nbsp;
Acknowledgements We thank Nicole Ullmann, Mischa Frank, Daniel Plappert, Patrick Siehndel, and Zhivko Asenov for their contribution and engagement in realizing the GroupMe! system.  ...  Based on this extended folksonomy, we proposed different strategies as to how the folksonomy ranking algorithm FolkRank can be extended to take the group context into account in order to improve the search  ...  Folksonomy To develop FolkRank-based group-aware ranking strategies we have to embed the group context introduced by the GroupMe! approach into the formal folksonomy model.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4419-1219-0_2">doi:10.1007/978-1-4419-1219-0_2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v32mpaozj5hb7itjhbzoulsgpu">fatcat:v32mpaozj5hb7itjhbzoulsgpu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808213455/http://www.beck-shop.de/fachbuch/leseprobe/9781441912183_excerpt_001.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/89/7b/897b4e169335f7f793a04e20a67df2d4edd2f138.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4419-1219-0_2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Topical key concept extraction from folksonomy through graph-based ranking

Han Xue, Bing Qin, Ting Liu
<span title="2014-10-12">2014</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7inqmh346zfjjizjyieh7ijtma" style="color: black;">Multimedia tools and applications</a> </i> &nbsp;
Based on their works, Jin et al. (2011) implement a topicsensitive tag ranking (TSTR) approach in folksonomy automatically through LDA.  ...  Hotho et al. (2006) propose a graph-based ranking algorithm for folksonomy, named FolkRank. They convert triadic hypergraph in folksonomy into an undirected tripartite graph.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11042-014-2303-9">doi:10.1007/s11042-014-2303-9</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7mrvniajkrbivjc6ymr3tbuaqu">fatcat:7mrvniajkrbivjc6ymr3tbuaqu</a> </span>
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Personalized recommendation in social tagging systems using hierarchical clustering

Andriy Shepitsen, Jonathan Gemmell, Bamshad Mobasher, Robin Burke
<span title="">2008</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vxvef3lblbcxbliuugiju5sify" style="color: black;">Proceedings of the 2008 ACM conference on Recommender systems - RecSys &#39;08</a> </i> &nbsp;
context in cluster selection.  ...  Furthermore, context dependent cluster selection, an integral step in our personalization algorithm, demonstrates more utility for recommendation in multi-topic folksonomies than in single-topic folksonomies  ...  In [9] , a novel algorithm, FolkRank, for search and ranking in folksonomies is proposed that depends on interrelated tags, resources and users.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1454008.1454048">doi:10.1145/1454008.1454048</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/recsys/ShepitsenGMB08.html">dblp:conf/recsys/ShepitsenGMB08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o2ghyeomkrhx7ixffkvig3pyeu">fatcat:o2ghyeomkrhx7ixffkvig3pyeu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20141218122332/http://kayapo.tribler.org/trac/raw-attachment/wiki/SimilarityFunction/Personalized%20Recommendation%20in%20Social%20Tagging%20Systems.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cc/04/cc042aa1ded99e04226523f740cd532e5590f6cd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1454008.1454048"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Semantic Contextualisation of Social Tag-Based Profiles and Item Recommendations [chapter]

Iván Cantador, Alejandro Bellogín, Ignacio Fernández-Tobías, Sergio López-Hernández
<span title="">2011</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/noh4d7uktraolega74eilgfv5u" style="color: black;">Lecture Notes in Business Information Processing</a> </i> &nbsp;
We present an approach that efficiently identifies the semantic meanings and contexts of social tags within a particular folksonomy, and exploits them to build contextualised tag-based user and item profiles  ...  The results obtained show that our approach is able to accurately determine the actual semantic meanings and contexts of tag annotations, and allow item recommenders to achieve better precision and recall  ...  For known tests, our approach assigned the correct context in 63.8% of the cases in the 1 st positions of the ranked lists.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-23014-1_9">doi:10.1007/978-3-642-23014-1_9</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/apqiissmefbtrem4zhrjcgutbe">fatcat:apqiissmefbtrem4zhrjcgutbe</a> </span>
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RichVSM

Rabeeh Abbasi, Steffen Staab
<span title="">2009</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rlbme3lpqzcqnmggrcv27szery" style="color: black;">Proceedings of the 20th ACM conference on Hypertext and hypermedia - HT &#39;09</a> </i> &nbsp;
In this paper, we explore two dimensions of semantic relationships between tags, based on the context and the distribution of tags.  ...  People share millions of resources (photos, bookmarks, videos, etc.) in Folksonomies (like Flickr, Delicious, Youtube, etc.).  ...  [10] present an algorithm for ranking tags, resources, and users in folksonomies.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1557914.1557952">doi:10.1145/1557914.1557952</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ht/AbbasiS09.html">dblp:conf/ht/AbbasiS09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hip2ktln2reungz7vkevnzlly4">fatcat:hip2ktln2reungz7vkevnzlly4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120124155027/http://www.tagora-project.eu/wp-content/2009/09/Abbasi2009REV.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/af/77/af777606fc1c9d9b4704839ff2cb56e21c75df66.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1557914.1557952"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Folksonomy-Based Recommender Systems: A State-of-the-Art Review

Daniela Godoy, Alejandro Corbellini
<span title="2015-08-14">2015</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tsqpdv4ebvctjlbuqzeazjgjaq" style="color: black;">International Journal of Intelligent Systems</a> </i> &nbsp;
This review aims at providing a comprehensive overview of the literature in the eld of folksonomy-based recommender systems.  ...  In this context, tripartite relationships between users, resources and tags contained in folksonomies set new challenges for knowledge discovery approaches to be applied with recommendation purposes.  ...  In the more specic context of Web search, ranking strategies extending the traditional document-centric models to consider the folksonomy entities associated to them were proposed.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/int.21753">doi:10.1002/int.21753</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ylf6d4a3ybdkpjrytblvgkvbuu">fatcat:ylf6d4a3ybdkpjrytblvgkvbuu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170706051023/http://users.exa.unicen.edu.ar/%7Edgodoy/pdfs/2016-IJIS.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cf/05/cf05b66b202dd6195772d48e6616e3886e6b6bc6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/int.21753"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>

The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems [article]

Kowald Dominik, Lex Elisabeth
<span title="2016-04-04">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
context.  ...  However, the extent to which each factor individually influences tag reuse strongly depends on the type of folksonomy present in a social tagging system.  ...  based on the given folksonomy type.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1604.00837v1">arXiv:1604.00837v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/x7lccu4u5ncyrmvfgyu66ranju">fatcat:x7lccu4u5ncyrmvfgyu66ranju</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200908104229/https://arxiv.org/pdf/1604.00837v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fc/a4/fca4807e2de5c40f7bf817018502fd2be152ed42.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1604.00837v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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