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1BibSonomy Release 3.9.2
https://blog.bibsonomy.org/2019/12/release-392.html
5 years ago by @hotho
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phd
bibsonomynews
recommender
advisor
bibsonomy
phdbibsonomynewsrecommenderadvisorbibsonomy
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1Deep Learning for Recommender Systems
Talk with Yves Raimond at the GPU Tech Conference on Marth 28, 2018 in San Jose, CA. Abstract: In this talk, we will survey how Deep Learning methods can be ap…
7 years ago by @hotho
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deep
learning
recommender
deeplearningrecommender
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1Home | 4th European Network Intelligence Conference
http://enic.collide.info/
8 years ago by @hotho
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pc
2017
conference
social
recommender
network
pc2017conferencesocialrecommendernetwork
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1ACM RecSys 2014 Workshop on Recommender Systems and the Social Web
6th ACM RecSys Workshop on Recommender Systems & the Social Web Foster City, Silicon Valley, 6 October 2014
10 years ago by @hotho
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social
2014
workshop
2010
recommender
social2014workshop2010recommender
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2RecSys 2013 Workshop on Recommender Systems and the Social Web
http://ls13-www.cs.uni-dortmund.de/homepage/rsweb2013/index.shtml
11 years ago by @hotho
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myown
systems
chair
workshop
2013
recsys
recommender
myownsystemschairworkshop2013recsysrecommender
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1Recommender Systems – Introduction and Handbook – Supporting Website
Supporting website for the text books 'Recommender Systems An Introduction', 'Persuasive Recommender Systems' and 'Recommender Systems Handbook'
12 years ago by @hotho
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slides
systems
material
supporting
handbook
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introduction
slidessystemsmaterialsupportinghandbookrecommenderintroduction
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2RecSys 2012 Workshop on Recommender Systems and the Social Web
http://ls13-www.cs.uni-dortmund.de/homepage/rsweb2012/index.shtml
12 years ago by @hotho
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myown
systems
chair
workshop
2012
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myownsystemschairworkshop2012recommender
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2ACM Recommender Systems 2012
http://recsys.acm.org/2012/
13 years ago by @hotho
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pc
systems
web
conference
2012
acm
recommender
pcsystemswebconference2012acmrecommender
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1RecLab Core -
http://code.richrelevance.com/reclab-core/
14 years ago by @hotho
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dataset
development
method
data
challenge
recommender
algorithm
improvement
datasetdevelopmentmethoddatachallengerecommenderalgorithmimprovement
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33rd Workshop on Recommender Systems and the Social Web
http://www.dcs.warwick.ac.uk/~ssanand/RSWeb11/index.htm
14 years ago by @hotho
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myown
systems
web
social
workshop
2011
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myownsystemswebsocialworkshop2011recommender
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1ACM Recommender Systems 2011
http://www.recsys.acm.org/2011/index.shtml
14 years ago by @hotho
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pc
conference
2011
recsys
recommender
pcconference2011recsysrecommender
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2appazaar
http://www.appazaar.net/
14 years ago by @hotho
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app
android
recommender
appandroidrecommender
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1Ontology-based collaborative recommendation (PDF)
http://ls13-www.cs.uni-dortmund.de/homepage/ITWP2010/papers/SiegITWP2010.pdf
14 years ago by @dbenz
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semantic
user_profile
recommender
ontology
semanticuser_profilerecommenderontology
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2RSWeb'10
http://www.dcs.warwick.ac.uk/~ssanand/RSWEb.htm
14 years ago by @dbenz
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semantic
social
folksonomy
workshop
2010
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semanticsocialfolksonomyworkshop2010recommender
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2RSWeb'10
http://www.dcs.warwick.ac.uk/~ssanand/RSWEb.htm
14 years ago by @hotho
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semantic
pc
web
2.0
social
folksonomy
workshop
2010
recommender
semanticpcweb2.0socialfolksonomyworkshop2010recommender
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1onfs:www2010 [Irwin King @ Web Intelligence & Social Computing Lab]
http://wiki.cse.cuhk.edu.hk/irwin.king/confs/www2010
15 years ago by @hotho
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tutorial
www2010
recommender
tutorialwww2010recommender
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6ZoneTag Photos
http://zonetag.research.yahoo.com/
15 years ago by @dbenz
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tagging
geo
zonetag
auto-tagging
upload
flickr
location
photos
recommender
tag_recommender
pictures
tagginggeozonetagauto-tagginguploadflickrlocationphotosrecommendertag_recommenderpictures
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1Google Reader - Play
http://www.google.com/reader/play/#item/new/0
15 years ago by @dbenz
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tool
websites
reader
google
recommender
browse
toolwebsitesreadergooglerecommenderbrowse
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2Top 10 movie recommendation engines | Webware - CNET
http://news.cnet.com/8301-17939_109-10200031-2.html
15 years ago by @dbenz
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movie
recommender
movierecommender
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3SciPlore: Exploring Science
http://www.sciplore.org/
15 years ago by @hotho
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science
recommender
tools
research
sciencerecommendertoolsresearch
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publications (hide)127
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6Enhancing Sequential Next-Item Prediction through Modelling Non-Item Pages
E. Fischer, D. Schlör, A. Zehe, and A. Hotho. (2023)
8 months ago by @hotho
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myown
sequential
2023
prediction
ranking
modelling
recommender
myownsequential2023predictionrankingmodellingrecommender
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4Sequential Item Recommendation in the MOBA Game Dota 2
A. Dallmann, J. Kohlmann, D. Zoller, and A. Hotho. 2021 International Conference on Data Mining Workshops (ICDMW), page 10-17. (December 2021)
3 years ago by @hotho
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game
myown
Dota
2021
recommender
gamemyownDota2021recommender
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5CoBERT: Scientific Collaboration Prediction via Sequential Recommendation
T. Koopmann, K. Kobs, K. Herud, and A. Hotho. 2021 International Conference on Data Mining Workshops (ICDMW), page 45-54. (December 2021)
3 years ago by @hotho
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myown
collaboration
2021
recommender
myowncollaboration2021recommender
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7A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models
A. Dallmann, D. Zoller, and A. Hotho. Fifteenth ACM Conference on Recommender Systems, ACM, (September 2021)
3 years ago by @hotho
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myown
systems
deep
sampling
evaluation
learning
2021
recommender
myownsystemsdeepsamplingevaluationlearning2021recommender
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8Integrating Keywords into BERT4Rec for Sequential Recommendation
E. Fischer, D. Zoller, A. Dallmann, and A. Hotho. KI 2020: Advances in Artificial Intelligence, 12325, page 275-282. Cham, Springer International Publishing, (2020)
4 years ago by @hotho
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myown
kebert4rec
sequential
recommendation
embedding
2020
recommender
bert4rec
keyword
myownkebert4recsequentialrecommendationembedding2020recommenderbert4reckeyword
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3The Role of Cores in Recommender Benchmarking for Social Bookmarking Systems
S. Doerfel, R. Jäschke, and G. Stumme. Transactions on Intelligent Systems and Technology, (2015)
6 years ago by @stumme
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core
tagging
myown
social
2015
folksonomy
collaborative
recommender
bookmarking
benchmark
coretaggingmyownsocial2015folksonomycollaborativerecommenderbookmarkingbenchmark
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4Recommender systems: introduction and challenges
F. Ricci, L. Rokach, and B. Shapira. Recommender systems handbook, Springer, (2015)
7 years ago by @hotho
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toread
citedby:scholar:count:89
challenges
recommender
citedby:scholar:timestamp:2018-3-14
introduction
toreadcitedby:scholar:count:89challengesrecommendercitedby:scholar:timestamp:2018-3-14introduction
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2Improving Session Recommendation with Recurrent Neural Networks by Exploiting Dwell Time
A. Dallmann, A. Grimm, C. Pölitz, D. Zoller, and A. Hotho. (2017)cite arxiv:1706.10231Comment: 6 pages, 3 figures, submission to DLRS workshop.
7 years ago by @hotho
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myown
2017
recommender
myown2017recommender
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3Recommender Systems Handbook
F. Ricci, L. Rokach, and B. Shapira (Eds.) (2015)
7 years ago by @hotho
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book
recommender
bookrecommender
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3LocalRank - Neighborhood-Based, Fast Computation of Tag Recommendations
M. Kubatz, F. Gedikli, and D. Jannach. page 258--269. Springer Berlin Heidelberg, Berlin, Heidelberg, (2011)
7 years ago by @hotho
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ranking
recommender
rankingrecommender
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5Relational Stacked Denoising Autoencoder for Tag Recommendation.
H. Wang, X. Shi, and D. Yeung. AAAI, page 3052--3058. (2015)
7 years ago by @hotho
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semantic
citedby:scholar:timestamp:2017-6-23
citedby:scholar:count:23
tag
embedding
recommender
sendto:thomas
semanticcitedby:scholar:timestamp:2017-6-23citedby:scholar:count:23tagembeddingrecommendersendto:thomas
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2Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
B. Hidasi, and A. Karatzoglou. arXiv preprint arXiv:1706.03847, (2017)
7 years ago by @hotho
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rnn
session
recommender
rnnsessionrecommender
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7Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations
B. Hidasi, M. Quadrana, A. Karatzoglou, and D. Tikk. Proceedings of the 10th ACM Conference on Recommender Systems, page 241--248. New York, NY, USA, ACM, (2016)
7 years ago by @hotho
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click
toread
deep
session
feature
reach
learning
recommender
clicktoreaddeepsessionfeaturereachlearningrecommender
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3Tag recommendation method in folksonomy based on user tagging status
H. Yu, B. Zhou, M. Deng, and F. Hu. Journal of Intelligent Information Systems, (2017)
7 years ago by @hotho
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recommendation
tag
time
recommender
user
recommendationtagtimerecommenderuser
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3Tripartite Hidden Topic Models for Personalised Tag Suggestion
M. Harvey, M. Baillie, I. Ruthven, and M. Carman. page 432--443. Springer Berlin Heidelberg, Berlin, Heidelberg, (2010)
7 years ago by @hotho
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recommendation
tag
lda
recommender
recommendationtagldarecommender
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2Personalized Topic-based Tag Recommendation
R. Krestel, and P. Fankhauser. Neurocomput., 76 (1): 61--70 (January 2012)
7 years ago by @hotho
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mp
recommendation
tag
lda
recommender
mprecommendationtagldarecommender
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2Hierarchical Bayesian Models for Collaborative Tagging Systems
M. Bundschus, S. Yu, V. Tresp, A. Rettinger, M. Dejori, and H. Kriegel. Proceedings of the 2009 Ninth IEEE International Conference on Data Mining, page 728--733. Washington, DC, USA, IEEE Computer Society, (2009)
7 years ago by @hotho
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recommendation
tag
lda
recommender
recommendationtagldarecommender
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2Folksonomy-Based Recommender Systems: A State-of-the-Art Review
D. Godoy, and A. Corbellini. International Journal of Intelligent Systems, 31 (4): 314--346 (2016)
7 years ago by @hotho
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toread
recommendation
tag
survey
recommender
toreadrecommendationtagsurveyrecommender
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4Hashtag recommendation using attention-based convolutional neural network
Y. Gong, and Q. Zhang. IJCAI 2016, Proceedings of the 26rd International Joint Conference on Artificial Intelligence, New York City, USA, (2016)
7 years ago by @hotho
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toread
tag
hashtag
recommender
recommendations
toreadtaghashtagrecommenderrecommendations
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6Ask the GRU: Multi-Task Learning for Deep Text Recommendations
T. Bansal, D. Belanger, and A. McCallum. (2016)cite arxiv:1609.02116Comment: 8 pages.
7 years ago by @hotho
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cf
toread
deep
recommendation
tag
learning
text
recommender
cftoreaddeeprecommendationtaglearningtextrecommender
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