{"id":872,"date":"2022-05-25T21:20:44","date_gmt":"2022-05-25T21:20:44","guid":{"rendered":"https:\/\/www.um.org\/umap2022\/?page_id=872"},"modified":"2022-06-24T17:09:06","modified_gmt":"2022-06-24T17:09:06","slug":"late-breaking-results-and-demos","status":"publish","type":"page","link":"https:\/\/www.um.org\/umap2022\/late-breaking-results-and-demos\/","title":{"rendered":"Accepted Late-breaking Results and Demos Papers"},"content":{"rendered":"\n

LBR<\/h2>\n\n\n\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

Automatic Reading Detection during Online Search Sessions<\/strong><\/p>\n

Johannes Schwerdt and Andreas N\u00fcrnberger<\/p>\n<\/td>\n<\/tr>\n

\n

Survey2Persona: Rendering Survey Responses as Personas<\/strong><\/p>\n

Joni Salminen, Bernard Jansen and Soon-Gyo Jung<\/p>\n<\/td>\n<\/tr>\n

\n

A Family of Neural Contextual Matrix Factorization Models for Context-Aware Recommendations<\/strong><\/p>\n

Yong Zheng and Gonzalo Florez Arias<\/p>\n<\/td>\n<\/tr>\n

\n

Responsible Interactive Personalisation for Human-Robot Cooperation<\/strong><\/p>\n

Matthias Kraus, Viktoria Dettenhofer and Wolfgang Minker<\/p>\n<\/td>\n<\/tr>\n

\n

Optimizing the User Experience in VR-based Anti-Bullying Education<\/strong><\/p>\n

Lubomir Ivanov<\/p>\n<\/td>\n<\/tr>\n

\n

A Virtual Assistant for the Movie Domain Exploiting Natural Language Preference Elicitation Strategies<\/strong><\/p>\n

Alessandro Francesco Maria Martina, Cataldo Musto, Andrea Iovine, Marco de Gemmis, Fedelucio Narducci and Giovanni Semeraro<\/p>\n<\/td>\n<\/tr>\n

\n

Towards Multi-Method Support for Product Search and Recommending<\/strong><\/p>\n

Timm Kleemann, Benedikt Loepp and J\u00fcrgen Ziegler<\/p>\n<\/td>\n<\/tr>\n

\n

Haven’t I just listened to this?: Exploring diversity in music recommendations<\/strong><\/p>\n

Antonela Tommasel, Juan Manuel Rodriguez and Daniela Godoy<\/p>\n<\/td>\n<\/tr>\n

\n

Using Recommender Systems to Help Revitalize Local News<\/strong><\/p>\n

Payam Pourashraf and Bamshad Mobasher<\/p>\n<\/td>\n<\/tr>\n

\n

Recommending Relevant Papers to Conference Participants: a Deep Learning Driven Content-based Approach<\/strong><\/p>\n

Federico Rios, Paolo Rizzo, Francesco Puddu, Federico Romeo, Andrea Lentini, Giuseppe Asaro,<\/p>\n

Filippo Rescalli, Cristiana Bolchini and Paolo Cremonesi<\/p>\n<\/td>\n<\/tr>\n

\n

Following the trail of fake news spreaders in social media: A deep learning model<\/strong><\/p>\n

Antonela Tommasel, Juan Manuel Rodriguez and Filippo Menczer<\/p>\n<\/td>\n<\/tr>\n

\n

Exploring Expressed Emotions for Neural News Recommendation<\/strong><\/p>\n

Mete Sertkan and Julia Neidhardt<\/p>\n<\/td>\n<\/tr>\n

\n

ViralBERT: A User Focused BERT-Based Approach to Virality Prediction<\/strong><\/p>\n

Rikaz Rameez, Hossein A. Rahmani and Emine Yilmaz<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n\n\n\n

Demo<\/h2>\n\n\n\n
\n\n\n\n\n\n
\n

DeepCARSKit: A Demo and User Guide<\/strong><\/p>\n

Yong Zheng<\/p>\n<\/td>\n<\/tr>\n

\n

Map and Content Based Climbing Recommender System<\/strong><\/p>\n

Iustina Ivanova, Attaullah Buriro and Francesco Ricci<\/p>\n<\/td>\n<\/tr>\n

\n

ReStyle-MusicVAE: Enhancing User Control of Deep Generative Music Models with Expert Labeled Anchors<\/strong><\/p>\n

Damjan Prvulovic, Richard Vogl and Peter Knees<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n","protected":false},"excerpt":{"rendered":"

LBR Automatic Reading Detection during Online Search Sessions Johannes Schwerdt and Andreas N\u00fcrnberger Survey2Persona: Rendering Survey Responses as Personas Joni Salminen, Bernard Jansen and Soon-Gyo Jung A Family of Neural Contextual Matrix Factorization Models for Context-Aware Recommendations Yong Zheng and Gonzalo Florez Arias Responsible Interactive Personalisation for Human-Robot Cooperation Matthias Kraus, Viktoria Dettenhofer and Wolfgang …<\/p>\n

Accepted Late-breaking Results and Demos Papers<\/span> Read More »<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ub_ctt_via":"","site-sidebar-layout":"","site-content-layout":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"featured_image_src":null,"_links":{"self":[{"href":"https:\/\/www.um.org\/umap2022\/wp-json\/wp\/v2\/pages\/872"}],"collection":[{"href":"https:\/\/www.um.org\/umap2022\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.um.org\/umap2022\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.um.org\/umap2022\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.um.org\/umap2022\/wp-json\/wp\/v2\/comments?post=872"}],"version-history":[{"count":7,"href":"https:\/\/www.um.org\/umap2022\/wp-json\/wp\/v2\/pages\/872\/revisions"}],"predecessor-version":[{"id":1141,"href":"https:\/\/www.um.org\/umap2022\/wp-json\/wp\/v2\/pages\/872\/revisions\/1141"}],"wp:attachment":[{"href":"https:\/\/www.um.org\/umap2022\/wp-json\/wp\/v2\/media?parent=872"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}