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Topical Co-Attention Networks for hashtag recommendation on microblogs

Yang Li, Ting Liu, Jingwen Hu, Jing Jiang
<span title="">2019</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bby322qx6ndsje4ypr56c7nnly" style="color: black;">Neurocomputing</a> </i> &nbsp;
, in the sense that the content representation(s) are used to guide the topic attention and the topic representation is used to guide content attention.  ...  Unlike previous works, which only focus on content attention of microblogs, we propose a novel Topical Co-Attention Network (TCAN) that jointly models content attention and topic attention simultaneously  ...  Acknowledgment We thank the anonymous reviewers for their constructive comments, and gratefully acknowledge the support of the National Natural Science Foundation of China (NSFC) via Grant 61806049 , the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neucom.2018.11.057">doi:10.1016/j.neucom.2018.11.057</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/aymz7nsnpzaqdahucb7mw6s4d4">fatcat:aymz7nsnpzaqdahucb7mw6s4d4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200507103833/https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=5903&amp;context=sis_research" 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/b1/87/b187ff057faa594911b7e5ace169a8d7b3ab067d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neucom.2018.11.057"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Using Probabilistic Topic Models in Enterprise Social Software [chapter]

Konstantinos Christidis, Gregoris Mentzas
<span title="">2010</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 employ Latent Dirichlet Allocation in order to elicit latent topics and use the latter to assess similarities in resource and tag recommendation as well as for the expansion of query results.  ...  topic models.  ...  Research reported in this paper has been partially financed by the European Commission in the OrganiK project (FP7: Research for the Benefit of SMEs, 222225).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-12814-1_3">doi:10.1007/978-3-642-12814-1_3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xp64upkfqjdj5m475454afdu3y">fatcat:xp64upkfqjdj5m475454afdu3y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20130903232638/http://imu.ntua.gr:80/sites/default/files/biblio/Papers/using-probabilistic-topic-models-in-enterprise-social-software.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/26/e7/26e79b6e6cc0260276baa4531e41f26de1513c7d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-12814-1_3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Special issue on advances in web intelligence

Stefan Rüger, Vijay V. Raghavan, Irwin King, Jimmy Xiangji Huang
<span title="">2012</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bby322qx6ndsje4ypr56c7nnly" style="color: black;">Neurocomputing</a> </i> &nbsp;
Acknowledgements The guest editors wish to thank the Editor-in-Chief Tom Heskes for giving us the opportunity to present the Advances in Web Intelligence; the reviewers, who have helped to select the very  ...  best papers from Web Intelligence 2010 and gave valuable feedback on the extended work in the papers of this special issue within a very short time-frame; the journal staff for a professional production  ...  Krestel and Fankhauser's paper "Personalized Topic-Based Tag Recommendation" proposes an approach for personalized tag recommendation that combines tags derived via the probabilistic model of a web resource  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neucom.2011.07.006">doi:10.1016/j.neucom.2011.07.006</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mkonlpjpbrcothduyrsg677o5u">fatcat:mkonlpjpbrcothduyrsg677o5u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808195608/http://www.comp.hkbu.edu.hk/~iib/2011/Dec/review/iib_vol12no1_review2.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/b3/d1/b3d11b498b48917e4ac2c664b89ec57fa36185a2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neucom.2011.07.006"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Leveraging Massive User Contributions for Knowledge Extraction [chapter]

Spiros Nikolopoulos, Elisavet Chatzilari, Eirini Giannakidou, Symeon Papadopoulos, Ioannis Kompatsiaris, Athena Vakali
<span title="">2011</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oqt3yqhkxvcubnonwg57er4tdq" style="color: black;">Studies in Computational Intelligence</a> </i> &nbsp;
structure of tag-networks, the emerging trends and events in users tag activity, and the associations between image regions and  ...  The collective intelligence that emerges from the collaboration, competition, and co-ordination among individuals in social networks has opened up new opportunities for knowledge extraction.  ...  We used the derived tag clusters for tag recommendation in order to quantify their effect on the IR performance of a cluster-based tag recommendation system.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-20344-2_16">doi:10.1007/978-3-642-20344-2_16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/37r7jgrq5nceje4ir7rvm7p4ye">fatcat:37r7jgrq5nceje4ir7rvm7p4ye</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321153124/http://www.iti.gr/iti/files/document/publications/Nikolopoulos_CollectiveComputationalIntelligence_2011.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/4b/04/4b042eb64ddb8991c0e63fff02b1c51c378a8f58.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-20344-2_16"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Hashtag Recommendation for Photo Sharing Services

Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu
<span title="2019-07-17">2019</span> <i title="Association for the Advancement of Artificial Intelligence (AAAI)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wtjcymhabjantmdtuptkk62mlq" style="color: black;">PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE</a> </i> &nbsp;
For the content modeling module, we adopt the parallel co-attention mechanism to coherently model both image and text as well as the interaction between them; for the habit modeling module, we introduce  ...  Therefore, it is highly desirable to characterize the users' tagging habits. In this paper, we propose an integral and effective hashtag recommendation approach for photo sharing services.  ...  Compared Methods We compare the following methods: • Tag2Word (T2W) (Wu et al. 2016 ): T2W is a supervised variant of topic modeling used for tag recommendation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aaai.v33i01.33015805">doi:10.1609/aaai.v33i01.33015805</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/s5g3pb5ttjbg7fgnpvhwiu5ley">fatcat:s5g3pb5ttjbg7fgnpvhwiu5ley</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210225005957/https://ojs.aaai.org/index.php/AAAI/article/download/4528/4406" 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/64/25/6425503ec630eade7f16ec5444b1191eec8a39f9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aaai.v33i01.33015805"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

The topic-perspective model for social tagging systems

Caimei Lu, Xiaohua Hu, Xin Chen, Jung-Ran Park, TingTing He, Zhoujun Li
<span title="">2010</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fqqihtxlu5bvfaqxjyvqcob35a" style="color: black;">Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD &#39;10</a> </i> &nbsp;
In this paper, we propose a new probabilistic generative model, called Topic-Perspective Model, for simulating the generation process of social annotations.  ...  While content terms are only generated from resource topics, social tags are generated by resource topics and user perspectives together.  ...  are not the same as content-based topics.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1835804.1835891">doi:10.1145/1835804.1835891</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/kdd/LuHCPHL10.html">dblp:conf/kdd/LuHCPHL10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jgjh6yh7wfe7bc2zsmfdyby7pq">fatcat:jgjh6yh7wfe7bc2zsmfdyby7pq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20101105044050/http://www.pages.drexel.edu:80/~cl389/dataset/kdd10-lu.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/1b/02/1b02f2ae7bc7fef924230e1626f089ca828c47d5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1835804.1835891"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Communicating online information via streaming video: the role of user goal

Muhammad Aljukhadar, Sylvain Senecal
<span title="2017-06-12">2017</span> <i title="Emerald"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5x5ohboyknaxnhadyzl6qysvpq" style="color: black;">Online information review (Print)</a> </i> &nbsp;
In this paper we propose a user specific category based promotion, we propose and provide for characterization of individual content as well as social attributes that help distinguish each user class.  ...  There are various ways and methods used in video recommendation which are purely statistical. These would give recommendations to users based on either their previous search or other criteria.  ...  To measures for computing the user similarity, namely tag cloud-based cosine (TCC) [15] and tag cloud similarity rank (TCSR).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1108/oir-06-2016-0152">doi:10.1108/oir-06-2016-0152</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zvbsvyeqszgkjfih4bf2nqwjqi">fatcat:zvbsvyeqszgkjfih4bf2nqwjqi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160819140940/http://www.rroij.com/open-access/online-video-promotion-with-user-specificinformation.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/00/59/0059bcd04ff335f7ccab001a3fdf53373ae51a93.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1108/oir-06-2016-0152"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

YouTube Video Recommendation via Cross-Network Collaboration

Tejal T., Sheetal A.
<span title="2016-07-15">2016</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
Finally, we compared our cross-relevance method with other single network based methods a) the average relevance of videos automatically recommended by our system for new YouTube users is 76% with Top  ...  K=5. b) The average relevance of videos automatically recommended by our system for light and heavy YouTube users is 90% with Top K=5.  ...  Cross-system user modeling approach on the social web [9] In this The Generic recommendation algorithm used to generate more valuable tag based profiles.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2016910896">doi:10.5120/ijca2016910896</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pknulwa675e7xpmwwjbib3juw4">fatcat:pknulwa675e7xpmwwjbib3juw4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180604191318/https://www.ijcaonline.org/archives/volume146/number11/wanave-2016-ijca-910896.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/1d/77/1d7786d17a3396b4f999ba6828f6b617f5b91bfd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2016910896"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Keyphrase Cloud Generation of Broadcast News [article]

Luis Marujo, Márcio Viveiros, João Paulo da Silva Neto
<span title="2013-06-19">2013</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The keyphrase extraction process is used to create a concept level for each news.  ...  system for TV and Radio news/programs, running daily, and monitoring 12 TV channels and 4 Radios.  ...  The authors would like to thank David Matos, Hugo Meinedo, and Isabel Trancoso for their help.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1306.4606v1">arXiv:1306.4606v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7gbgtkrcsffivataepupx5pgme">fatcat:7gbgtkrcsffivataepupx5pgme</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200907173330/https://arxiv.org/pdf/1306.4606v1.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/c1/e1/c1e1985587a9437270ea4c4b024f48aff906b538.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1306.4606v1" 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>

Hacking the knowledge of maker communities in support of 21st century education

C. Voigt, S. Mair, E. Unterfrauner
<span title="2018-10-14">2018</span> <i title="Zenodo"> Zenodo </i> &nbsp;
The potential of that knowledge base is analysed in two steps: first, we describe the available content on the platform in terms of topics, structure and licenses and second, we explore the value of topic  ...  that a major impediment to innovations, such as digital fabrication in schools, were the perceived complexity of the process, the technical skills required and the lack of easily accessible resources for  ...  A Tag-based Recommender Prototype Providing the tag-based content network to end-users is close to providing a first prototype of a recommender systems as discussed in [23] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.1686994">doi:10.5281/zenodo.1686994</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/phyaxv3bbbgwpmb3e5mqeqqu3a">fatcat:phyaxv3bbbgwpmb3e5mqeqqu3a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190504103013/https://zenodo.org/record/1686994/files/HackingKnowledge_Voigt.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/bd/d6/bdd604db2b50856bf9b9727baaf6d7ae0ae5b037.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.1686994"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

A Review of Text Corpus-Based Tourism Big Data Mining

Qin Li, Shaobo Li, Sen Zhang, Jie Hu, Jianjun Hu
<span title="2019-08-12">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
profiles, and make policies for supervising tourism markets.  ...  We summarize and discuss different text representation strategies, text-based NLP techniques for topic extraction, text classification, sentiment analysis, and text clustering in the context of tourism  ...  Contextual Information • Recommendation based on Collaborative Filtering The match degree between tourists and items Content-based Recommendation Function or Goal of Tourism Recommendation • Travel  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app9163300">doi:10.3390/app9163300</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/chb3pbtj5jgq7fauniomsb22yu">fatcat:chb3pbtj5jgq7fauniomsb22yu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200306133840/https://scholarcommons.sc.edu/cgi/viewcontent.cgi?article=1251&amp;context=csce_facpub" 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/1b/96/1b96d56abe413916b331eb99a29c7b2b551a3ec4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app9163300"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

A Trust-aware Neural Collaborative Filtering for E-learning Recommendation

Xiaoyi Deng, Hailin Li, Feifei Huangfu
<span title="2018-10-31">2018</span> <i title="Egitim Danismanligi ve Arastirmalari (EDAM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vuxxr3h7tzc6heekbhsbzklngu" style="color: black;">Educational Sciences: Theory &amp; Practice</a> </i> &nbsp;
The results indicate that the proposed model has better accuracy and robustness than other methods for making recommendations in elearning environment.  ...  To address this problem, a novel trust-aware neural collaborative filtering model is proposed for exploiting multi-sourced information (resource content, user rating and social trust) to predict ratings  ...  Related Studies CF-based recommendation models CF has been successfully applied in recommender systems for e-learning, it has been a controversial topic for a decade.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12738/estp.2018.5.121">doi:10.12738/estp.2018.5.121</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/y2gmhq6ymngilcv4fpl5jmag6a">fatcat:y2gmhq6ymngilcv4fpl5jmag6a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190428224817/http://www.estp.com.tr/wp-content/uploads/2018/12/ESTP-2018-5-2217-2234.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/78/ed/78ed0c7f25cb52df45cea6197656dcf4ee37ab2b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12738/estp.2018.5.121"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Contextual music information retrieval and recommendation: State of the art and challenges

Marius Kaminskas, Francesco Ricci
<span title="">2012</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/x3ibtg2oifh47c73tgo66gjrw4" style="color: black;">Computer Science Review</a> </i> &nbsp;
Music information retrieval Music recommender systems Context-aware services Affective computing Social computing A B S T R A C T Increasing amount of online music content has opened new opportunities  ...  This survey covers a broad range of topics, starting from classical music information retrieval (MIR) and recommender system (RS) techniques, and then focusing on context-aware music applications as well  ...  It covers the topics of psychology research on emotion, collecting emotion annotations for music content, content-based audio analysis, and multimodal analysis for emotion recognition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cosrev.2012.04.002">doi:10.1016/j.cosrev.2012.04.002</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eheqwtlpufftni2k4sgolnskli">fatcat:eheqwtlpufftni2k4sgolnskli</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20121114224044/http://www.inf.unibz.it/~ricci/papers/lit_review_music-context.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/ac/93/ac9348ae36d937ff7217906032e334090e266c9f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cosrev.2012.04.002"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Online video recommendation with user behaviour and spammer detection

K. Priya, N. Subitha
<span title="">2015</span> <i title="IEEE"> 2015 International Conference on Communications and Signal Processing (ICCSP) </i> &nbsp;
Proposed tag cloud recommendation approaches.  ...  These options open opportunities for users to introduce impure content, or just pollution, into the system.  ...  The cloud-tag is generated based on the user Recommended.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccsp.2015.7322790">doi:10.1109/iccsp.2015.7322790</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/636gaptvcvb4ravb4mcppfsflu">fatcat:636gaptvcvb4ravb4mcppfsflu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160912154729/http://www.rroij.com/open-access/detection-of-spammer-based-on-the-userrecommendation-report-in-web-mining.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/15/51/1551f527ceae1cbeedbd9f374519f31723b65e5c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccsp.2015.7322790"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Content-Based Personalization Services Integrating Folksonomies [chapter]

Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
<span title="">2009</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;
FIRSt (Folksonomy-based Item Recommender syStem) is a contentbased recommender system developed at the University of Bari which integrates UGC (through social tagging) in a classic content-based model,  ...  This paper describes the system general architecture and user modeling approach, showing how this recommendation model has been applied to recommend the artworks located at the Vatican Picture Gallery  ...  It combines Semantic Web technologies and content-based algorithms for inferring visitors' preference from a set of scored artifacts and then, recommending other artworks and related content topics.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-03964-5_21">doi:10.1007/978-3-642-03964-5_21</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wctkqcbizbh7hi66h27pgywj5e">fatcat:wctkqcbizbh7hi66h27pgywj5e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705114133/http://www.di.uniba.it/%7Eswap/papers/ECWEB09.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/f3/30/f330daa1a775eef7f75e3c00d73ff95edf392dae.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-03964-5_21"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>
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