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1 Tagsplanations: Explaining Recommendations Using Tags
http://files.grouplens.org/papers/vig-iui2009-tagsplanations.pdf
We study two aspects of tag-based explanations: the rela- tionship of the tag to the recommended item, which we call tag relevance, and the ...
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2 (PDF) Tagsplanations: explaining recommendations using tags
https://www.researchgate.net/publication/221607721_Tagsplanations_explaining_recommendations_using_tags
This paper introduces tagsplanations, which are ex- planations based on community tags. Tagsplanations have two key components: tag relevance, ...
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3 Tagsplanations: Explaining Recommendations Using Tags
https://dl.acm.org/doi/pdf/10.1145/1502650.1502661
While recommender systems tell users what items they might like, explanations of recommendations reveal why they might like them.
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4 Tagsplanations: explaining recommendations using tags
https://www.bibsonomy.org/bibtex/a6d866cf13c75130c1969c9e40606fd1?lang=en
While recommender systems tell users what items they might like, explanations of recommendations reveal why they might like them.
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5 Tagsplanations: explaining recommendations using tags
https://www.academia.edu/615174/Tagsplanations_explaining_recommendations_using_tags
We also examine which types of tags are most useful for tagsplanations. Research shows that explanations help users make more ac- curate decisions [1], improve ...
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6 EXPLORE: EXPLainable item-tag CO-REcommendation
https://www.sciencedirect.com/science/article/abs/pii/S0020025518307667
These studies have confirmed that the abundance and semantic meanings of tags could help improve the performance of recommender systems. Tag recommendation ...
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7 [PDF] Tagsplanations: explaining recommendations using tags
https://www.semanticscholar.org/paper/Tagsplanations%3A-explaining-recommendations-using-Vig-Sen/bb7519078a45824c711e4ad6317fcfaa3aba3c13
Tagsplanations have two key components: tag relevance, the degree to which a tag ... Tagsplanations: explaining recommendations using tags.
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8 Tagsplanations: explaining recommendations using tags. - dblp
https://dblp.org/rec/conf/iui/VigSR09
Jesse Vig, Shilad Sen, John Riedl: Tagsplanations: explaining recommendations using tags. IUI 2009: 47-56 text to speech.
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9 Tagging and Tag Recommendation - IntechOpen
https://www.intechopen.com/chapters/64576
In particular, tags are keywords freely created by users and associated with objects. Tags are not necessarily unigrams (unless the application automatically ...
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10 Tagsplanations: Explaining Recommendations using Tags | FOSS ...
https://foss2010.isr.uci.edu/content/tagsplanations-explaining-recommendations-using-tags.html
Title, Tagsplanations: Explaining Recommendations using Tags. Publication Type, Conference Paper. Year of Publication, 2009. Authors, Vig, J., S. Sen, ...
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11 Explaining Online Recommendations Using Personalized Tag ...
https://web-ainf.aau.at/pub/jannach/files/2011_Journal_i-com.pdf
using tag clouds as explanation mechanism leads to higher user satisfaction and recommendation efficiency than previous keyword-style explanations.
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12 Explaining Recommendations by Means of User Reviews
https://interactivesystems.info/publications/explaining-recommendations-by-means-of-user-reviews
These developments have moved from integrating tags into collaborative filtering to employing topics and sentiments expressed in reviews to increase ...
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13 Tag Recommendation Services - Learning Layers Results
http://results.learning-layers.eu/infrastructure/sss/services/tag-rec/
Tag recommendation services support learners in finding descriptive tags for their resources (e.g., Web links or documents). Thus, these services suggest a set ...
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14 Collaborative Filtering in Social Tagging Systems Based on ...
https://repository.upenn.edu/cgi/viewcontent.cgi?article=1065&context=oid_papers
A precise understanding of the information structure of social tagging ... framework, we first generate joint item-tag recommendations, with tags indicating ...
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15 Explaining recommendations - Dr. Nava Tintarev
http://navatintarev.com/papers/Nava%20Tintarev_PhD_Thesis_(2010).pdf
Tag preference can be seen as a form of content-based explanation, as it is based on a user's ratings of movies with that tag. Here, showing recommendations ...
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16 Understanding Recommendations by Reading the Clouds
https://link.springer.com/chapter/10.1007/978-3-642-23014-1_17
Current research has shown the important role of explanation facilities in ... Sen, S., Riedl, J.: Tagsplanations: Explaining recommendations using tags.
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17 Tagsplanations: Explaining Recommendations Using Tags
https://www.zotero.org/groups/grouplens/items/itemKey/SJ52FTIT
This paper introduces tagsplanations, which are explanations based on community tags. Tagsplanations have two key components: tag relevance, the ...
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18 Generating Transparent, Steerable Recommendations ... - Oracle Labs
https://labs.oracle.com/pls/apex/f?p=LABS:0:10632028653705:APPLICATION_PROCESS=GETDOC_INLINE:::DOC_ID:24
used to explain the similarities between items using terms ... save tag clouds and use them to generate recommendations over time.
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19 Interpretable video tag recommendation with multimedia deep ...
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
model could effectively explain its recommended tag to users by highlighting keywords and key ... Second, many video tag recommendation models are based on.
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20 A decentralized trust-aware collaborative filtering ... - arXiv
https://arxiv.org/pdf/1906.05143
These systems use ranks or tags each user assign to different resources to predict or make ... "Tagsplanations: explaining recommendations using tags.".
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21 A Content-Based Method to Enhance Tag Recommendation
https://www.ijcai.org/Proceedings/09/Papers/340.pdf
a content-based approach to tag recommendation ... explain the concept using tags as an example, and the case is similar for terms. Tags that appear only in ...
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22 How to Build a Simple Movie Recommender System with Tags
https://towardsdatascience.com/how-to-build-a-simple-movie-recommender-system-with-tags-b9ab5cb3b616
Before generating movie recommendations for a user, we need a way to measure the similarity between movies based on their top 50 tags. In ...
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23 Explaining Recommendations by Means of User ... - CEUR-WS
https://ceur-ws.org/Vol-2068/exss8.pdf
TagMF enhances a standard matrix factorization [12] algorithm with tags users. Page 2. provided for the items. By learning an integrated model of ratings and ...
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24 Opinionated Explanations for Recommendation
https://researchrepository.ucd.ie/rest/bitstreams/20935/retrieve
see also the work of [15] for related ideas based on user-generated tags instead of keywords. Note, this style of explanation justifies the item with ...
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25 Automatic tag suggestions using a deep learning ... - DiVA Portal
http://www.diva-portal.org/smash/get/diva2:1416028/FULLTEXT01.pdf
2.1.11 Recommendations using implicit data . ... collaborative filtering and content-based filtering are explained, as well as important.
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26 Automatic Tag Recommendation Algorithms for Social ...
http://sonyis.me/paperpdf/acmTweb_tagging.pdf
uments, we advocate the use of GP for tag recommendation for a couple of rea- ... The above two phenomenon can be roughly explained by the behavior of.
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27 Using Tags and Latent Factors in a Food Recommender System
https://www.inf.unibz.it/~ricci/papers/p105-ge-2015.pdf
We have found that using tags in food recom- ... ized food recommendations with high prediction accu- ... Explaining the user.
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28 Electronic Commerce Research and Applications
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
present empirical experiments using a real dataset from del.icio.us. ... tagging at different stages in the recommendation process. Second,.
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29 Alternatives and Performance - Archivo Digital UPM
https://oa.upm.es/35501/1/FERNANDO_ORTEGA_REQUENA.pdf
Explaining Recommendations Made through Collaborative Filtering. ... (2) The methods using tags in the recommendation process increase the capacity.
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30 A Scalable Tag-Based Recommender System for New Users ...
http://www0.cs.ucl.ac.uk/staff/l.capra/publications/dexa2011.pdf
it then clusters them into communities with shared interests, based on their tag- ging activity. Users' queries (be them searches or recommendations) are ...
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31 Lightweight Tag-Aware Personalized Recommendation on the ...
https://ieeexplore.ieee.org/iel7/6287639/8274985/08396258.pdf
personalized search and recommendation using social tags (i.e., ... Each step of Algorithm 3 is explained in detail as follows:.
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32 Tagommenders: Connecting Users to Items through Tags
https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=b6cb0fb2ef3bafd952447fb579834e992cd5afe0
algorithms based on users' interactions with tags and movies, and ... for tags, tagommenders generate movie recommendations (upper right).
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33 Evaluating Tag Recommendations for E-Book Annotation Using a ...
https://www.arxiv-vanity.com/papers/1908.04042/
Our results show that we can improve the performance of tag recommender systems for e-books both concerning tag recommendation accuracy, diversity as well as a ...
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34 Explaining Recommendations: Satisfaction vs. Promotion
https://www.cs.utexas.edu/~ml/papers/submit.pdf
Most of the research in recommender systems has focused on efficient and accu- rate algorithms for computing recommendations using meth- ods such as ...
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35 Multi-style explainable matrix factorization techniques for ...
https://ir.library.louisville.edu/cgi/viewcontent.cgi?article=4902&context=etd
models that can make recommendations with multiple explanation-styles, by hybridizing ... 2.2.3 Using Tags in Collaborative Filtering Recommender Systems .
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36 TagDC: A tag recommendation method for software ...
https://yanmeng.github.io/papers/JSS202.pdf
background, expression habits, and understanding of software objects among ... propose TagDC, i.e., a composite Tag recommendation method with Deep learning ...
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37 Transparent, Scrutable and Explainable User Models for ...
https://krisztianbalog.com/files/sigir2019-transrec.pdf
[51] use tags for explaining movie recommendations and evaluate different interface designs that show how user preferences relate.
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38 PDF - AI Magazine
https://ojs.aaai.org/index.php/aimagazine/article/view/2365/2235
ent approaches for explaining recommendations ... system could use flattering or more factual phras- ... (2009) use tags to explain that the recommended.
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39 Collaborative Tag Recommendations
https://www.ismll.uni-hildesheim.de/pub/pdfs/Marinho_Schmidt-Thieme_GFKL_2007.pdf
Abstract. With the increasing popularity of collaborative tagging systems, services that as- sist the user in the task of tagging, such as tag recommenders, ...
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40 Tag-based real-time short video recommendation system | depth
https://medium.com/@dungcamlang/tag-based-real-time-short-video-recommendation-system-depth-55dd552970b7
With the introduction of the algorithm principle of personalized recommendation in 1, it is easy to explain how to do topic recommendation.
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41 Recommender system - Wikipedia
https://en.wikipedia.org/wiki/Recommender_system
A recommender system, or a recommendation system (sometimes replacing 'system' with a synonym such as platform or engine), is a subclass of information ...
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42 Recommendations: Tags vs Topics - Klangoo NLP
https://klangoo.com/recommendations-tags-vs-topics/
The traditional approach for news websites has been the use of tags to categorize content. Editors would add tags manually to each article and then the ...
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43 TRSDL: Tag-Aware Recommender System Based on Deep ...
https://mdpi-res.com/d_attachment/applsci/applsci-08-00799/article_deploy/applsci-08-00799.pdf?version=1526466747
of recommendation, traditional algorithms focus on users' ratings of ... A tagging system allows users to tag items using arbitrary words or ...
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44 Trends in content-based recommendation - Marijn Koolen
https://marijnkoolen.com/publications/2019/lops2019trends.pdf
recommendation context focused on user-provided tags, which were used in a ... be to use side information to explain the internal mechanisms that guide ...
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45 Recommendation System -Understanding The Basic Concepts
https://www.analyticsvidhya.com/blog/2021/07/recommendation-system-understanding-the-basic-concepts/
Here content refers to the attribute/tag of the product that the user like. In this type of system, products are tagged using certain ...
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46 Folksonomy-based tag recommendation for collaborative ...
https://digital.csic.es/bitstream/10261/133422/1/IJSWIS_9%282%291-30.pdf
is the use of tag recommendation systems to help users in the tagging ... The idea behind this strategy is that, understanding the scores of ΓA as a sample.
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47 Enhance the Quality of Collaborative Filtering Using Tagging
https://www.eurekaselect.com/182400/article
Methods: Here we have proposed a method Collaborative Tagging (CT) with Tag and Time weight model with real value genetic algorithm which ...
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48 Explaining Recommendations: Design and Evaluation ...
https://www.springerprofessional.de/en/explaining-recommendations-design-and-evaluation/6831012
The chapter starts by describing how explanations can be affected by how recommendations are presented, and the role the interaction with the recommender ...
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49 What Is a Recommendation Engine and How Does It Work?
https://www.appier.com/en/blog/what-is-a-recommendation-engine-and-how-does-it-work
To make recommendations, algorithms use a profile of the customer's preferences and a description of an item (genre, product type, color, word ...
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50 Personalized Explanations for Hybrid Recommender Systems
https://users.soe.ucsc.edu/~pkouki/kouki-iui19.pdf
is associated with a recommendation algorithm. To better under- stand how to improve explanation persuasiveness using multiple.
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51 Recommending Videos in Cold Start With Automatic Visual Tags
https://www.christophtrattner.info/pubs/UMAP2021_Elahi.pdf
tags with recommendations based on (manual) tags as well as rec- ... tems to include explanation when presenting recommended videos to their users.
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52 Designing Persuasive Food Conversational Recommender ...
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807554/
Our results show that a conversational recommendation system that ... “Using Tags and Latent Factors in a Food Recommender System,” in ...
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53 What Is a Recommendation Engine? How Recommenders Work
https://amplitude.com/blog/recommendation-engine
Attributes are weighted by the number of items in the database that share the tag with more common tags receiving higher rankings than ...
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54 Using Adjective Features from User Reviews to Generate ...
https://dl.ifip.org/db/conf/ifip8-2/ifip8-2-2012/XuDD12.pdf
only use the tags to infer users' preference. Using ratings, coverage increases ... proach provides high quality personalized recommendation explanation.
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55 Netflix Explains Recommendations and Personalization - Scale
https://scale.com/blog/netflix-recommendation-personalization
Netflix Explains Recommendations and Personalization ... or scripts along with metadata such as tags or popularities that we can feed into ...
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56 Explaining Recommendations in E-Learning - Lirias
https://lirias.kuleuven.be/retrieve/644413
recommendations with explanations is often desirable because it can, ... [21] used tag clouds in which word size encodes relevance, and Szymanski et al.
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57 This is a self-archived version of an original article. This ... - JYX
https://jyx.jyu.fi/bitstream/handle/123456789/77227/2/Designing-Recommendation-or.pdf
is an introduction to the use of recommendations and suggestions in the digital marketplace ... The diagrams explain how tags and similar ratings help in.
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58 In-Depth Guide: How Recommender Systems Work - Built In
https://builtin.com/data-science/recommender-systems
Content-based recommendation systems use their knowledge about each product to recommend new ones. Recommendations are based on attributes of ...
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59 ‪Shilad Sen‬ - ‪Google 学术搜索‬ - Google Scholar
https://scholar.google.co.il/citations?user=KNlw_X8AAAAJ&hl=zh-CN
Tagsplanations: explaining recommendations using tags. J Vig, S Sen, J Riedl. Proceedings of the 14th international conference on Intelligent user …, 2009.
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60 Tag Recommendation for Folksonomies Oriented towards ...
https://www.kde.cs.uni-kassel.de/ws/rsdc08/pdf/10.pdf
use as tags. This paper suggests and evaluates potential sources of rec- ommended tags, focusing on folksonomies oriented towards individual users.
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61 Tag Recommendations in StackOverflow - SNAP: Stanford
http://snap.stanford.edu/class/cs224w-2014/projects2014/cs224w-4-final.pdf
and EnTagRec, for tag recommendation on sites like Stack-. Overflow. The improvements we can make to these algorithms. (Section 2.3), along with recent ...
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62 A Reinforcement Learning Framework for Explainable ...
https://www.microsoft.com/en-us/research/uploads/prod/2018/08/main.pdf
consistent with the rating. Also, we need to design different explanation methods for different recommendation models. Based on the previous discussion, ...
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63 Effects of Feature-Based Explanation and Its Output Modality ...
https://www.frontiersin.org/articles/10.3389/fdata.2022.897381/full
In an earlier paper about recommendation explanation (Herlocker et al., ... “Tagsplanations: explaining recommendations using tags,” in ...
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64 Recommending Learning Objects with Arguments and ... - MDPI
https://www.mdpi.com/2076-3417/10/10/3341/htm
The recommendation process is based on an argumentation-based approach that ... to explain the recommendations by comparing item tags with user preferences.
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65 Extending a Tag-based Collaborative Recommender with Co ...
http://www.di.unito.it/~mauro/publications/2019_UMAP_Cat.pdf
and coverage, they challenge the explanation of recommendation ... ging information to regularize Matrix Factorization, we use tags in a KNN algorithm.
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66 Explainability in Music Recommender Systems - DeepAI
https://deepai.org/publication/explainability-in-music-recommender-systems
This complexity can hinder the ability to explain recommendations to end ... of music items or to annotate music items with relevant tags.
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67 WHEN THE SYSTEM BECOMES YOUR PERSONAL DOCENT
https://scholarworks.boisestate.edu/cgi/viewcontent.cgi?article=2265&context=td
with an explanation that (i) showcases why a particular book was recommended and ... social tags to capture the content of books for recommendation.
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68 Explainable Entity-based Recommendations with Knowledge ...
http://www.cs.cmu.edu/~wcohen/postscript/recsys-2017-poster.pdf
Our method jointly ranks items and knowledge graph entities using ... that assessed di erent ways of explaining recommendations in a.
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69 A Review on Explanations in Recommender Systems
https://hal.archives-ouvertes.fr/hal-01836639/document
Explaining the recommendations usually make it easier for ... explanation types from the literature with tag-based explanation approach.
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70 Recommendations AI | AI & Machine Learning Products
https://cloud.google.com/recommendations
Quickly connect data with your existing tools like Google Analytics 360, Tag Manager, Merchant Center, Cloud Storage, BigQuery. State-of-the-art AI logo. State- ...
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71 Joint Item-Tag Recommendation Framework for Collaborative ...
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1881702
In this framework, we first generate joint item-tag recommendations, with tags indicating topical interests of users in target items.
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72 Recommender Systems Handbook - CSE - IIT Kanpur
https://www.cse.iitk.ac.in/users/nsrivast/HCC/Recommender_systems_handbook.pdf
with a number of issues related to the presentation, browsing, explanation and vi- sualization of the recommendations, and techniques that make the ...
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73 Item-Based Explanations for User-Based Recommendations
https://www.thinkmind.org/download.php?articleid=eknow_2017_4_20_68006
relatively easy to explain the recommendations of content- ... of feature-based explanation using user-generated tags. For. Herlocker et al., histograms of ...
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74 TriRank: Review-aware Explainable Recommendation by ...
https://www.cs.jhu.edu/~taochen/data/pubs/cikm15.pdf
mendation process is transparent by explaining its recom- mendations with respect to aspects, allowing users to cus- tomize their recommendations to fit ...
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75 Content-Based Recommendations using Knowledge Graphs ...
https://www.youtube.com/watch?v=ySxgzBdM2jM
Apr 15, 2019
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76 Explaining Recommendations Based on Feature Sentiments ...
https://www.comp.hkbu.edu.hk/~lichen/download/p17-chen.pdf
They use category title to explain items within the same cate- ... tems, keywords or user-tag based approaches have also been.
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77 Trusting tags, terms, and recommendations
http://informationr.net/ir/15-3/colis7/colis705.html
While content-based recommendations can supports users in discovery of resources based on what other users use, social network based ...
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78 How to create a product recommendation system with tagging
https://freshmail.com/blog/how-to-create-a-product-recommendation-system-with-tagging/
If you consistently tag the links in your campaigns, you are just a step away creating segments of users with similar interests and planning ...
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79 User Preferences for Hybrid Explanations - Jay Pujara
https://www.jaypujara.org/pubs/2017/kouki-recsys17/kouki-recsys17.pdf
Tagsplanations: Explaining Recommendations. Using Tags. In Proceedings of the 14th International Conference on Intelligent User. Interfaces (IUI '09). 47–56.
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80 Tag Recommendation using Folksonomy Information for ... - TDX
https://www.tdx.cat/bitstream/handle/10803/296797/tffc.pdf?sequence=1&isAllowed=y
focus on the case of tag recommendation for sound sharing platforms. ... use in the class detection step, and then explain the computation of the tag-tag.
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81 This is how Netflix's top-secret recommendation system works
https://www.wired.co.uk/article/how-do-netflixs-algorithms-work-machine-learning-helps-to-predict-what-viewers-will-like
This explains how, for example, one in eight people who watch one of ... The tags they use range massively from how cerebral the piece is, ...
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82 Visualizing Recommendations to Support Exploration ...
http://d-scholarship.pitt.edu/19382/1/IUI-aduna-revised-0.5.4.pdf
user or items associated by various users with a specific tag. ... both explain the provenance of recommendations in a.
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83 Personalized Tag Recommendation Using Graph-based ...
http://www-personal.umich.edu/~qmei/pub/sigir09-tag.pdf
personalized tag recommendation using collaborative tagging data. ... The explanation is as follows: the documents annotated.
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84 A hashtag recommendation system for twitter data streams
https://computationalsocialnetworks.springeropen.com/articles/10.1186/s40649-016-0028-9
With the implementation of the hashtag search feature in Twitter, many individual users and business marketers have started applying tagging to ...
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85 Recommender Systems through Collaborative Filtering
https://www.dominodatalab.com/blog/recommender-systems-collaborative-filtering
Content-based Recommendations: If companies have detailed metadata about each of your items, they can recommend items with similar metadata tags ...
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86 Tag based recommender system - SlideShare
https://www.slideshare.net/KarenLi27/tag-based-recommender-system
Weighted – combines the recommendations of two or more recommendation systems by computing weighted sums of their scores. ... Switching – require ...
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87 Consolidate Duplicate URLs with Canonical Tags
https://developers.google.com/search/docs/crawling-indexing/consolidate-duplicate-urls
› ... › Documentation
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88 Collaborative Tag Recommendations | Sciweavers
http://www.sciweavers.org/publications/collaborative-tag-recommendations
Collaborative Tag Recommendations - Abstract. With the increasing popularity of collaborative tagging systems, services that assist the user ...
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89 Instagram Hashtags: Ultimate Guide [+101 hashtags for 2022]
https://blog.hootsuite.com/instagram-hashtags/
Hashtags are clickable. Anyone who clicks on an Instagram hashtag or conducts an Instagram hashtag search will see a page showing all the posts tagged with that ...
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90 Ranking Results – How Google Search Works
https://www.google.com/search/howsearchworks/how-search-works/ranking-results/
The most basic signal that information is relevant is when content contains the same keywords as your search query. For example, with webpages, if those ...
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91 Using CSV files to import and export products
https://help.shopify.com/en/manual/products/import-export/using-csv
Use CSV files to import products to or export products from your Shopify store. ... A comma-separated list of tags used to tag the product.
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92 Tag-Aware Personalized Recommendation Using a Deep ...
https://static.aminer.org/pdf/fa/cikm2016/shp0489-xuA.pdf
Tag-Aware Personalized Recommendation Using a. Deep-Semantic Similarity Model with Negative Sampling. Zhenghua Xu. ∗. Cheng Chen. †. Thomas Lukasiewicz.
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93 Transitional Words and Phrases - The Writing Center
https://writing.wisc.edu/handbook/style/transitions/
Two recommendations: Use these transitions strategically by making sure that the word or phrase you're choosing matches the logic of the relationship you're ...
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94 What Is SEO / Search Engine Optimization?
https://searchengineland.com/guide/what-is-seo
Search engines such as Google and Bing use bots to crawl pages on the web, ... In the guide below, we explain these factors in more depth, and highlight ...
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95 New features & announcements - Google Ads Help
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