{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T16:46:27Z","timestamp":1762015587900,"version":"3.41.0"},"reference-count":48,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2016,11,7]],"date-time":"2016-11-07T00:00:00Z","timestamp":1478476800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100002923","name":"CONICET","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100002923","id-type":"DOI","asserted-by":"crossref"}]},{"name":"EC 7th Framework project EEXCESS","award":["600601"],"award-info":[{"award-number":["600601"]}]},{"name":"Austrian Research Promotion Agency"},{"name":"European Horizon 2020 research project AFEL","award":["687916"],"award-info":[{"award-number":["687916"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Interact. Intell. Syst."],"published-print":{"date-parts":[[2016,12,26]]},"abstract":"<jats:p>\n            Visualizations have a distinctive advantage when dealing with the information overload problem: Because they are grounded in basic visual cognition, many people understand them. However, creating proper visualizations requires specific expertise of the domain and underlying data. Our quest in this article is to study methods to suggest appropriate visualizations autonomously. To be appropriate, a visualization has to follow known guidelines to find and distinguish patterns visually and encode data therein. A visualization tells a story of the underlying data; yet, to be appropriate, it has to clearly represent those aspects of the data the viewer is interested in. Which aspects of a visualization are important to the viewer? Can we capture and use those aspects to recommend visualizations? This article investigates strategies to recommend visualizations considering different aspects of user preferences. A multi-dimensional scale is used to estimate aspects of quality for visualizations for collaborative filtering. Alternatively, tag vectors describing visualizations are used to recommend potentially interesting visualizations based on content. Finally, a hybrid approach combines information on what a visualization is about (tags) and how good it is (ratings). We present the design principles behind\n            <jats:italic>VizRec<\/jats:italic>\n            , our visual recommender. We describe its architecture, the data acquisition approach with a crowd sourced study, and the analysis of strategies for visualization recommendation.\n          <\/jats:p>","DOI":"10.1145\/2983923","type":"journal-article","created":{"date-parts":[[2016,11,9]],"date-time":"2016-11-09T13:36:49Z","timestamp":1478698609000},"page":"1-39","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":37,"title":["VizRec"],"prefix":"10.1145","volume":"6","author":[{"given":"Belgin","family":"Mutlu","sequence":"first","affiliation":[{"name":"Know Center GmbH"}]},{"given":"Eduardo","family":"Veas","sequence":"additional","affiliation":[{"name":"National University of Cuyo"}]},{"given":"Christoph","family":"Trattner","sequence":"additional","affiliation":[{"name":"Norwegian University of Science and Technology"}]}],"member":"320","published-online":{"date-parts":[[2016,11,7]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1057\/ivs.2009.12"},{"volume-title":"Semiology of Graphics","author":"Bertin Jacques","key":"e_1_2_1_2_1","unstructured":"Jacques Bertin . 1983. Semiology of Graphics . University of Wisconsin Press. Jacques Bertin. 1983. Semiology of Graphics. University of Wisconsin Press."},{"key":"e_1_2_1_3_1","volume-title":"Proceedings of the ACM Recommender Systems Workshop on Recommender Systems and the Social Web","volume":"9","author":"Bogers Toine","year":"2009","unstructured":"Toine Bogers and Antal Van den Bosch . 2009 . Collaborative and content-based filtering for item recommendation on social bookmarking websites . In Proceedings of the ACM Recommender Systems Workshop on Recommender Systems and the Social Web , Vol. 9 . 9--16. Toine Bogers and Antal Van den Bosch. 2009. Collaborative and content-based filtering for item recommendation on social bookmarking websites. 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Konstan , Al Borchers , Badrul Sarwar , Jon Herlocker , and John Riedl . 1999 . Combining collaborative filtering with personal agents for better recommendations . In Proceedings of the 16th National Conference on Artificial Intelligence and the 11th Innovative Application of Artificial Intelligence Conference (AAAI\u201999\/IAAI\u201999) . American Association for Artificial Intelligence, Menlo Park, CA, 439--446. Nathaniel Good, J. Ben Schafer, Joseph A. Konstan, Al Borchers, Badrul Sarwar, Jon Herlocker, and John Riedl. 1999. Combining collaborative filtering with personal agents for better recommendations. In Proceedings of the 16th National Conference on Artificial Intelligence and the 11th Innovative Application of Artificial Intelligence Conference (AAAI\u201999\/IAAI\u201999). 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Information retrieval with porter stemmer: A new version for english . In Advances in Computational Science, Engineering and Information Technology. Advances in Intelligent Systems and Computing , Vol. 225 . Springer International Publishing , 243--254. Wahiba Ben Abdessalem Karaa and Nidhal Grib\u00e2a. 2013. Information retrieval with porter stemmer: A new version for english. In Advances in Computational Science, Engineering and Information Technology. Advances in Intelligent Systems and Computing, Vol. 225. 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Belgin Mutlu, Patrick Hoefler, Gerwald Tschinkel, Eduardo Veas, Vedran Sabol, Florian Stegmaier, and Michael Granitzer. 2014. Suggesting visualizations for published data. In Proceedings of the 5th International Conference on Information Visualization Theory and Applications (IVAPP\u201914). SCITEPRESS, 41--47."},{"key":"e_1_2_1_25_1","series-title":"Lecture Notes in Computer Science","volume-title":"Advances in Visual Computing","author":"Nazemi Kawa","unstructured":"Kawa Nazemi , Reimond Retz , J\u00fcrgen Bernard , J\u00f6rn Kohlhammer , and Dieter Fellner . 2013. Adaptive semantic visualization for bibliographic entries . In Advances in Visual Computing . Lecture Notes in Computer Science , Vol. 8034 . Springer , Berlin , 13--24. Kawa Nazemi, Reimond Retz, J\u00fcrgen Bernard, J\u00f6rn Kohlhammer, and Dieter Fellner. 2013. Adaptive semantic visualization for bibliographic entries. In Advances in Visual Computing. Lecture Notes in Computer Science, Vol. 8034. 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