Evaluation of personalized recommender systems.Responsible recommendation, including algorithmic bias and fairness, filter bubbles, ethics, and privacy.Business value of recommendation systems and multi-stakeholder environments.Psychological aspects of recommendation (e.g., psychologically-informed user- and item-modeling and recommendation perception).Context-aware recommender systems (including temporal, social, and geographical).Recommendation algorithms including aspects of scalability and performance.User modeling and preference elicitation.In addition to mature research works addressing any of the aforementioned technical aspects pertaining to recommendations, we also particularly welcome research contributions that address questions related to the user perception and the business value of recommender systems. This track aims to provide a forum for researchers and practitioners to discuss open challenges, latest solutions and novel research approaches in the field of recommender systems. Track Chairs: Osnat ‘Ossi’ Mokryn (University of Haifa, Israel), Eva Zangerle (University of Innsbruck, Austria) and Markus Zanker (University of Bolzano, Italy)
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The two conferences will organize one shared track on personalized recommender systems (same track chairs and PC, see the track description). We expect authors to submit their Web-related work without a focus on personalization to HT and invite authors to submit research on personalized systems to UMAP. HT takes place one week before UMAP, and uses the same submission dates and formats. To be included in the Proceedings, at least one author of each accepted paper must register for the conference and present the paper there.ĪCM HT is co-located and collaborates with the ACM UMAP conference. Papers will be accessible from the HT ‘22 web site through ACM OpenToc Service for one year after publication in the ACM Digital Library. Thus, we welcome submissions introducing novel methodologies arising from a need to conduct research in new ways.Īll accepted papers will be published by ACM and will be available via the ACM Digital Library. We acknowledge that some research might be influenced by constraints imposed by Covid-19 (e.g., difficulty of running lab studies). The proceedings are published by the ACM and will be part of the ACM Digital Library. It is concerned with all aspects of modern hypertext research including social media, linked open data and knowledge graphs, information exploration and visualisation, dynamic and computed hypermedia, as well applications for digital arts, culture, and humanities.ĪCM HT is sponsored by ACM SIGWEB. Due to the ongoing COVID-19 pandemic, we are planning for a hybrid conference and will accommodate online presentations where needed.ĪCM HT – Hypertext and Social Media conference – is a premium venue for high-quality peer-reviewed research on hypertext theory, systems and applications.
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