drjack.world
Google Keyword Rankings for : explaining recommendations using tags
1
http://files.grouplens.org/papers/vig-iui2009-tagsplanations.pdf
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http://files.grouplens.org/papers/vig-iui2009-tagsplanations.pdf
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2
https://www.researchgate.net/publication/221607721_Tagsplanations_explaining_recommendations_using_tags
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https://www.researchgate.net/publication/221607721_Tagsplanations_explaining_recommendations_using_tags
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3
https://dl.acm.org/doi/pdf/10.1145/1502650.1502661
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https://dl.acm.org/doi/pdf/10.1145/1502650.1502661
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4
https://www.bibsonomy.org/bibtex/a6d866cf13c75130c1969c9e40606fd1?lang=en
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https://www.bibsonomy.org/bibtex/a6d866cf13c75130c1969c9e40606fd1?lang=en
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5
https://www.academia.edu/615174/Tagsplanations_explaining_recommendations_using_tags
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https://www.academia.edu/615174/Tagsplanations_explaining_recommendations_using_tags
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6
https://www.sciencedirect.com/science/article/abs/pii/S0020025518307667
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https://www.sciencedirect.com/science/article/abs/pii/S0020025518307667
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7
https://www.semanticscholar.org/paper/Tagsplanations%3A-explaining-recommendations-using-Vig-Sen/bb7519078a45824c711e4ad6317fcfaa3aba3c13
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https://www.semanticscholar.org/paper/Tagsplanations%3A-explaining-recommendations-using-Vig-Sen/bb7519078a45824c711e4ad6317fcfaa3aba3c13
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8
https://dblp.org/rec/conf/iui/VigSR09
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https://dblp.org/rec/conf/iui/VigSR09
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9
https://www.intechopen.com/chapters/64576
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https://www.intechopen.com/chapters/64576
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10
https://foss2010.isr.uci.edu/content/tagsplanations-explaining-recommendations-using-tags.html
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https://foss2010.isr.uci.edu/content/tagsplanations-explaining-recommendations-using-tags.html
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11
https://web-ainf.aau.at/pub/jannach/files/2011_Journal_i-com.pdf
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https://web-ainf.aau.at/pub/jannach/files/2011_Journal_i-com.pdf
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12
https://interactivesystems.info/publications/explaining-recommendations-by-means-of-user-reviews
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https://interactivesystems.info/publications/explaining-recommendations-by-means-of-user-reviews
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13
http://results.learning-layers.eu/infrastructure/sss/services/tag-rec/
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http://results.learning-layers.eu/infrastructure/sss/services/tag-rec/
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14
https://repository.upenn.edu/cgi/viewcontent.cgi?article=1065&context=oid_papers
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https://repository.upenn.edu/cgi/viewcontent.cgi?article=1065&context=oid_papers
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15
http://navatintarev.com/papers/Nava%20Tintarev_PhD_Thesis_(2010).pdf
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http://navatintarev.com/papers/Nava%20Tintarev_PhD_Thesis_(2010).pdf
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16
https://link.springer.com/chapter/10.1007/978-3-642-23014-1_17
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https://link.springer.com/chapter/10.1007/978-3-642-23014-1_17
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17
https://www.zotero.org/groups/grouplens/items/itemKey/SJ52FTIT
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https://www.zotero.org/groups/grouplens/items/itemKey/SJ52FTIT
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18
https://labs.oracle.com/pls/apex/f?p=LABS:0:10632028653705:APPLICATION_PROCESS=GETDOC_INLINE:::DOC_ID:24
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https://labs.oracle.com/pls/apex/f?p=LABS:0:10632028653705:APPLICATION_PROCESS=GETDOC_INLINE:::DOC_ID:24
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19
https://www.emerald.com/insight/content/doi/10.1108/INTR-08-2020-0471/full/pdf?title=interpretable-video-tag-recommendation-with-multimedia-deep-learning-framework
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https://www.emerald.com/insight/content/doi/10.1108/INTR-08-2020-0471/full/pdf?title=interpretable-video-tag-recommendation-with-multimedia-deep-learning-framework
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20
https://arxiv.org/pdf/1906.05143
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https://arxiv.org/pdf/1906.05143
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21
https://www.ijcai.org/Proceedings/09/Papers/340.pdf
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https://www.ijcai.org/Proceedings/09/Papers/340.pdf
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22
https://towardsdatascience.com/how-to-build-a-simple-movie-recommender-system-with-tags-b9ab5cb3b616
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https://towardsdatascience.com/how-to-build-a-simple-movie-recommender-system-with-tags-b9ab5cb3b616
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23
https://ceur-ws.org/Vol-2068/exss8.pdf
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https://ceur-ws.org/Vol-2068/exss8.pdf
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24
https://researchrepository.ucd.ie/rest/bitstreams/20935/retrieve
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https://researchrepository.ucd.ie/rest/bitstreams/20935/retrieve
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25
http://www.diva-portal.org/smash/get/diva2:1416028/FULLTEXT01.pdf
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http://www.diva-portal.org/smash/get/diva2:1416028/FULLTEXT01.pdf
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26
http://sonyis.me/paperpdf/acmTweb_tagging.pdf
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http://sonyis.me/paperpdf/acmTweb_tagging.pdf
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27
https://www.inf.unibz.it/~ricci/papers/p105-ge-2015.pdf
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https://www.inf.unibz.it/~ricci/papers/p105-ge-2015.pdf
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28
http://www.sfu.ca/~cqt/IAT352/research/used/extra/DEFINITION_general_SD-Collaborative_filtering_based_on_collaborative_tagging_for_enchancing_the_quality_of_recommendation.pdf
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http://www.sfu.ca/~cqt/IAT352/research/used/extra/DEFINITION_general_SD-Collaborative_filtering_based_on_collaborative_tagging_for_enchancing_the_quality_of_recommendation.pdf
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29
https://oa.upm.es/35501/1/FERNANDO_ORTEGA_REQUENA.pdf
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https://oa.upm.es/35501/1/FERNANDO_ORTEGA_REQUENA.pdf
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30
http://www0.cs.ucl.ac.uk/staff/l.capra/publications/dexa2011.pdf
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http://www0.cs.ucl.ac.uk/staff/l.capra/publications/dexa2011.pdf
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31
https://ieeexplore.ieee.org/iel7/6287639/8274985/08396258.pdf
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https://ieeexplore.ieee.org/iel7/6287639/8274985/08396258.pdf
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32
https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=b6cb0fb2ef3bafd952447fb579834e992cd5afe0
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https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=b6cb0fb2ef3bafd952447fb579834e992cd5afe0
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33
https://www.arxiv-vanity.com/papers/1908.04042/
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https://www.arxiv-vanity.com/papers/1908.04042/
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34
https://www.cs.utexas.edu/~ml/papers/submit.pdf
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https://www.cs.utexas.edu/~ml/papers/submit.pdf
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35
https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=4902&context=etd
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https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=4902&context=etd
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36
https://yanmeng.github.io/papers/JSS202.pdf
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https://yanmeng.github.io/papers/JSS202.pdf
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37
https://krisztianbalog.com/files/sigir2019-transrec.pdf
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https://krisztianbalog.com/files/sigir2019-transrec.pdf
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38
https://ojs.aaai.org/index.php/aimagazine/article/view/2365/2235
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https://ojs.aaai.org/index.php/aimagazine/article/view/2365/2235
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39
https://www.ismll.uni-hildesheim.de/pub/pdfs/Marinho_Schmidt-Thieme_GFKL_2007.pdf
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https://www.ismll.uni-hildesheim.de/pub/pdfs/Marinho_Schmidt-Thieme_GFKL_2007.pdf
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40
https://medium.com/@dungcamlang/tag-based-real-time-short-video-recommendation-system-depth-55dd552970b7
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https://medium.com/@dungcamlang/tag-based-real-time-short-video-recommendation-system-depth-55dd552970b7
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41
https://en.wikipedia.org/wiki/Recommender_system
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https://en.wikipedia.org/wiki/Recommender_system
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42
https://klangoo.com/recommendations-tags-vs-topics/
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https://klangoo.com/recommendations-tags-vs-topics/
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43
https://mdpi-res.com/d_attachment/applsci/applsci-08-00799/article_deploy/applsci-08-00799.pdf?version=1526466747
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https://mdpi-res.com/d_attachment/applsci/applsci-08-00799/article_deploy/applsci-08-00799.pdf?version=1526466747
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44
https://marijnkoolen.com/publications/2019/lops2019trends.pdf
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https://marijnkoolen.com/publications/2019/lops2019trends.pdf
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45
https://www.analyticsvidhya.com/blog/2021/07/recommendation-system-understanding-the-basic-concepts/
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https://www.analyticsvidhya.com/blog/2021/07/recommendation-system-understanding-the-basic-concepts/
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46
https://digital.csic.es/bitstream/10261/133422/1/IJSWIS_9%282%291-30.pdf
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https://digital.csic.es/bitstream/10261/133422/1/IJSWIS_9%282%291-30.pdf
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47
https://www.eurekaselect.com/182400/article
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https://www.eurekaselect.com/182400/article
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48
https://www.springerprofessional.de/en/explaining-recommendations-design-and-evaluation/6831012
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https://www.springerprofessional.de/en/explaining-recommendations-design-and-evaluation/6831012
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49
https://www.appier.com/en/blog/what-is-a-recommendation-engine-and-how-does-it-work
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https://www.appier.com/en/blog/what-is-a-recommendation-engine-and-how-does-it-work
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50
https://users.soe.ucsc.edu/~pkouki/kouki-iui19.pdf
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https://users.soe.ucsc.edu/~pkouki/kouki-iui19.pdf
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51
https://www.christophtrattner.info/pubs/UMAP2021_Elahi.pdf
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https://www.christophtrattner.info/pubs/UMAP2021_Elahi.pdf
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52
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807554/
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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807554/
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53
https://amplitude.com/blog/recommendation-engine
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https://amplitude.com/blog/recommendation-engine
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54
https://dl.ifip.org/db/conf/ifip8-2/ifip8-2-2012/XuDD12.pdf
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https://dl.ifip.org/db/conf/ifip8-2/ifip8-2-2012/XuDD12.pdf
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55
https://scale.com/blog/netflix-recommendation-personalization
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https://scale.com/blog/netflix-recommendation-personalization
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56
https://lirias.kuleuven.be/retrieve/644413
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https://lirias.kuleuven.be/retrieve/644413
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57
https://jyx.jyu.fi/bitstream/handle/123456789/77227/2/Designing-Recommendation-or.pdf
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https://jyx.jyu.fi/bitstream/handle/123456789/77227/2/Designing-Recommendation-or.pdf
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58
https://builtin.com/data-science/recommender-systems
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https://builtin.com/data-science/recommender-systems
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59
https://scholar.google.co.il/citations?user=KNlw_X8AAAAJ&hl=zh-CN
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https://scholar.google.co.il/citations?user=KNlw_X8AAAAJ&hl=zh-CN
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60
https://www.kde.cs.uni-kassel.de/ws/rsdc08/pdf/10.pdf
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https://www.kde.cs.uni-kassel.de/ws/rsdc08/pdf/10.pdf
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61
http://snap.stanford.edu/class/cs224w-2014/projects2014/cs224w-4-final.pdf
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http://snap.stanford.edu/class/cs224w-2014/projects2014/cs224w-4-final.pdf
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62
https://www.microsoft.com/en-us/research/uploads/prod/2018/08/main.pdf
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https://www.microsoft.com/en-us/research/uploads/prod/2018/08/main.pdf
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63
https://www.frontiersin.org/articles/10.3389/fdata.2022.897381/full
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https://www.frontiersin.org/articles/10.3389/fdata.2022.897381/full
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64
https://www.mdpi.com/2076-3417/10/10/3341/htm
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https://www.mdpi.com/2076-3417/10/10/3341/htm
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65
http://www.di.unito.it/~mauro/publications/2019_UMAP_Cat.pdf
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http://www.di.unito.it/~mauro/publications/2019_UMAP_Cat.pdf
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66
https://deepai.org/publication/explainability-in-music-recommender-systems
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https://deepai.org/publication/explainability-in-music-recommender-systems
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67
https://scholarworks.boisestate.edu/cgi/viewcontent.cgi?article=2265&context=td
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https://scholarworks.boisestate.edu/cgi/viewcontent.cgi?article=2265&context=td
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68
http://www.cs.cmu.edu/~wcohen/postscript/recsys-2017-poster.pdf
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http://www.cs.cmu.edu/~wcohen/postscript/recsys-2017-poster.pdf
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69
https://hal.archives-ouvertes.fr/hal-01836639/document
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https://hal.archives-ouvertes.fr/hal-01836639/document
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70
https://cloud.google.com/recommendations
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https://cloud.google.com/recommendations
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71
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1881702
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https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1881702
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72
https://www.cse.iitk.ac.in/users/nsrivast/HCC/Recommender_systems_handbook.pdf
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https://www.cse.iitk.ac.in/users/nsrivast/HCC/Recommender_systems_handbook.pdf
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73
https://www.thinkmind.org/download.php?articleid=eknow_2017_4_20_68006
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https://www.thinkmind.org/download.php?articleid=eknow_2017_4_20_68006
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74
https://www.cs.jhu.edu/~taochen/data/pubs/cikm15.pdf
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https://www.cs.jhu.edu/~taochen/data/pubs/cikm15.pdf
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75
https://www.youtube.com/watch?v=ySxgzBdM2jM
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https://www.youtube.com/watch?v=ySxgzBdM2jM
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76
https://www.comp.hkbu.edu.hk/~lichen/download/p17-chen.pdf
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https://www.comp.hkbu.edu.hk/~lichen/download/p17-chen.pdf
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77
http://informationr.net/ir/15-3/colis7/colis705.html
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http://informationr.net/ir/15-3/colis7/colis705.html
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78
https://freshmail.com/blog/how-to-create-a-product-recommendation-system-with-tagging/
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https://freshmail.com/blog/how-to-create-a-product-recommendation-system-with-tagging/
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79
https://www.jaypujara.org/pubs/2017/kouki-recsys17/kouki-recsys17.pdf
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https://www.jaypujara.org/pubs/2017/kouki-recsys17/kouki-recsys17.pdf
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80
https://www.tdx.cat/bitstream/handle/10803/296797/tffc.pdf?sequence=1&isAllowed=y
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https://www.tdx.cat/bitstream/handle/10803/296797/tffc.pdf?sequence=1&isAllowed=y
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81
https://www.wired.co.uk/article/how-do-netflixs-algorithms-work-machine-learning-helps-to-predict-what-viewers-will-like
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https://www.wired.co.uk/article/how-do-netflixs-algorithms-work-machine-learning-helps-to-predict-what-viewers-will-like
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82
http://d-scholarship.pitt.edu/19382/1/IUI-aduna-revised-0.5.4.pdf
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http://d-scholarship.pitt.edu/19382/1/IUI-aduna-revised-0.5.4.pdf
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83
http://www-personal.umich.edu/~qmei/pub/sigir09-tag.pdf
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http://www-personal.umich.edu/~qmei/pub/sigir09-tag.pdf
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84
https://computationalsocialnetworks.springeropen.com/articles/10.1186/s40649-016-0028-9
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https://computationalsocialnetworks.springeropen.com/articles/10.1186/s40649-016-0028-9
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85
https://www.dominodatalab.com/blog/recommender-systems-collaborative-filtering
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https://www.dominodatalab.com/blog/recommender-systems-collaborative-filtering
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86
https://www.slideshare.net/KarenLi27/tag-based-recommender-system
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https://www.slideshare.net/KarenLi27/tag-based-recommender-system
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87
https://developers.google.com/search/docs/crawling-indexing/consolidate-duplicate-urls
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https://developers.google.com/search/docs/crawling-indexing/consolidate-duplicate-urls
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88
http://www.sciweavers.org/publications/collaborative-tag-recommendations
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http://www.sciweavers.org/publications/collaborative-tag-recommendations
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89
https://blog.hootsuite.com/instagram-hashtags/
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https://blog.hootsuite.com/instagram-hashtags/
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90
https://www.google.com/search/howsearchworks/how-search-works/ranking-results/
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https://www.google.com/search/howsearchworks/how-search-works/ranking-results/
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91
https://help.shopify.com/en/manual/products/import-export/using-csv
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https://help.shopify.com/en/manual/products/import-export/using-csv
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92
https://static.aminer.org/pdf/fa/cikm2016/shp0489-xuA.pdf
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https://static.aminer.org/pdf/fa/cikm2016/shp0489-xuA.pdf
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93
https://writing.wisc.edu/handbook/style/transitions/
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https://writing.wisc.edu/handbook/style/transitions/
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94
https://searchengineland.com/guide/what-is-seo
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https://searchengineland.com/guide/what-is-seo
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95
https://support.google.com/google-ads/announcements/9048695?hl=en
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https://support.google.com/google-ads/announcements/9048695?hl=en
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