{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T12:28:23Z","timestamp":1751545703427,"version":"3.41.0"},"publisher-location":"New York, New York, USA","reference-count":39,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1145\/3041021.3054193","type":"proceedings-article","created":{"date-parts":[[2018,1,11]],"date-time":"2018-01-11T18:39:25Z","timestamp":1515695965000},"page":"699-707","source":"Crossref","is-referenced-by-count":2,"title":["Friendly, Appealing or Both?"],"prefix":"10.1145","author":[{"given":"Marc","family":"Bron","sequence":"first","affiliation":[{"name":"Yahoo!, London, United Kingdom"}]},{"given":"Miriam","family":"Redi","sequence":"additional","affiliation":[{"name":"Bell Labs, Cambridge, United Kingdom"}]},{"given":"Mounia","family":"Lalmas","sequence":"additional","affiliation":[{"name":"Yahoo!, London, United Kingdom"}]},{"given":"Fabrizio","family":"Silvestri","sequence":"additional","affiliation":[{"name":"Facebook, London, United Kingdom"}]},{"given":"Huw","family":"Evans","sequence":"additional","affiliation":[{"name":"Yahoo!, London, United Kingdom"}]},{"given":"Mahlon","family":"Chute","sequence":"additional","affiliation":[{"name":"Yahoo!, Sunnyvale, United Kingdom"}]}],"member":"320","reference":[{"key":"key-10.1145\/3041021.3054193-1","doi-asserted-by":"crossref","unstructured":"N. Barbieri, F. Silvestri, and M. Lalmas. Improving post-click user engagement on native ads via survival analysis. In Proceedings of the 25th International Conference on World Wide Web, WWW 2016, pages 761--770, 2016.","DOI":"10.1145\/2872427.2883092"},{"key":"key-10.1145\/3041021.3054193-2","doi-asserted-by":"crossref","unstructured":"M. Bauerly and Y. Liu. Computational modeling and experimental investigation of effects of compositional elements on interface and design aesthetics. International Journal of Human-Computer Studies, 64 (8): 670--682, 2006.","DOI":"10.1016\/j.ijhcs.2006.01.002"},{"key":"key-10.1145\/3041021.3054193-3","doi-asserted-by":"crossref","unstructured":"H. Becker, A. Broder, E. Gabrilovich, V. Josifovski, and B. Pang. What happens after an ad click?: Quantifying the impact of landing pages in web advertising. In Conference on Information and Knowledge Management, 2009a.","DOI":"10.1145\/1645953.1645964"},{"key":"key-10.1145\/3041021.3054193-4","doi-asserted-by":"crossref","unstructured":"H. Becker, A. Broder, E. Gabrilovich, V. Josifovski, and B. Pang. Context transfer in search advertising. In SIGIR, 2009.","DOI":"10.1145\/1571941.1572063"},{"key":"key-10.1145\/3041021.3054193-5","doi-asserted-by":"crossref","unstructured":"H. Cheng, R. v. Zwol, J. Azimi, E. Manavoglu, R. Zhang, Y. Zhou, and V. Navalpakkam. Multimedia features for click prediction of new ads in display advertising. In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 777--785, 2012.","DOI":"10.1145\/2339530.2339652"},{"key":"key-10.1145\/3041021.3054193-6","doi-asserted-by":"crossref","unstructured":"Y. Choi, M. Fontoura, E. Gabrilovich, V. Josifovski, M. Mediano, and B. Pang. Using landing pages for sponsored search ad selection. In World Wide Web, 2010.","DOI":"10.1145\/1772690.1772717"},{"key":"key-10.1145\/3041021.3054193-7","doi-asserted-by":"crossref","unstructured":"N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In Proceedings on IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR, pages 886--893, 2005.","DOI":"10.1109\/CVPR.2005.177"},{"key":"key-10.1145\/3041021.3054193-8","doi-asserted-by":"crossref","unstructured":"R. Datta, D. Joshi, J. Li, and J. Z. Wang. Studying aesthetics in photographic images using a computational approach. In European Conference on Computer Vision, volume 3953 of Lecture Notes in Computer Science, pages 288--301, 2006.","DOI":"10.1007\/11744078_23"},{"key":"key-10.1145\/3041021.3054193-9","doi-asserted-by":"crossref","unstructured":"A. De Angeli, A. Sutcliffe, and J. Hartmann. Interaction, usability and aesthetics: What influences users' preferences? In DIS '06, pages 271--280, 2006.","DOI":"10.1145\/1142405.1142446"},{"key":"key-10.1145\/3041021.3054193-10","doi-asserted-by":"crossref","unstructured":"R. M. Haralick, K. Shanmugam, and I. H. Dinstein. Textural features for image classification. Systems, Man and Cybernetics, IEEE Transactions on, (6): 610--621, 1973.","DOI":"10.1109\/TSMC.1973.4309314"},{"key":"key-10.1145\/3041021.3054193-11","doi-asserted-by":"crossref","unstructured":"H. Hohnhold, D. O'Brien, and D. Tang. Focusing on the long-term: It's good for users and business. In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '15, pages 1849--1858, 2015.","DOI":"10.1145\/2783258.2788583"},{"key":"key-10.1145\/3041021.3054193-12","doi-asserted-by":"crossref","unstructured":"X. Hou and L. Zhang. Saliency detection: A spectral residual approach. In CVPR, pages 1--8. IEEE, 2007.","DOI":"10.1109\/CVPR.2007.383267"},{"key":"key-10.1145\/3041021.3054193-13","doi-asserted-by":"crossref","unstructured":"P. Isola, J. Xiao, A. Torralba, and A. Oliva. What makes an image memorable? In Proceedings on IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR, pages 145--152, 2011.","DOI":"10.1109\/CVPR.2011.5995721"},{"key":"key-10.1145\/3041021.3054193-14","doi-asserted-by":"crossref","unstructured":"Y.-G. Jiang, Y. Wang, R. Feng, X. Xue, Y. Zheng, and H. Yang. Understanding and predicting interestingness of videos. In AAAI, 2013.","DOI":"10.1609\/aaai.v27i1.8457"},{"key":"key-10.1145\/3041021.3054193-15","doi-asserted-by":"crossref","unstructured":"A. Kae, K. Kan, V. K. Narayanan, and D. Yankov. Categorization of display ads using image and landing page features. In LDMTA, 2011.","DOI":"10.1145\/2002945.2002946"},{"key":"key-10.1145\/3041021.3054193-16","doi-asserted-by":"crossref","unstructured":"Y. Ke, X. Tang, and F. Jing. The design of high-level features for photo quality assessment. In Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, volume 1, pages 419--426, 2006.","DOI":"10.1109\/CVPR.2006.303"},{"key":"key-10.1145\/3041021.3054193-17","doi-asserted-by":"crossref","unstructured":"A. Khosla, A. Das Sarma, and R. Hamid. What makes an image popular? In Proceedings of the 23rd International Conference on World Wide Web, WWW '14, pages 867--876, 2014.","DOI":"10.1145\/2566486.2567996"},{"key":"key-10.1145\/3041021.3054193-18","doi-asserted-by":"crossref","unstructured":"M. Lalmas, H. O'Brien, and E. Yom-Tov. Measuring user engagement. Synthesis Lectures on Information Concepts, Retrieval, and Services, 6 (4): 1--132, 2014.","DOI":"10.2200\/S00605ED1V01Y201410ICR038"},{"key":"key-10.1145\/3041021.3054193-19","doi-asserted-by":"crossref","unstructured":"M. Lalmas, J. Lehmann, G. Shaked, F. Silvestri, and G. Tolomei. Promoting positive post-click experience for in-stream yahoo Gemini users. In SIGKDD'15, pages 1929--1938, 2015.","DOI":"10.1145\/2783258.2788581"},{"key":"key-10.1145\/3041021.3054193-20","doi-asserted-by":"crossref","unstructured":"T. Lavie and N. Tractinsky. Assessing dimensions of perceived visual aesthetics of web sites. Int. J. Hum.-Comput. Stud., 60 (3): 269--298, 2004.","DOI":"10.1016\/j.ijhcs.2003.09.002"},{"key":"key-10.1145\/3041021.3054193-21","doi-asserted-by":"crossref","unstructured":"H. Liu, W.-C. Kim, and D. Lee. Characterizing landing pages in sponsored search. In LA-WEB, 2012.","DOI":"10.1109\/LA-WEB.2012.10"},{"key":"key-10.1145\/3041021.3054193-22","doi-asserted-by":"crossref","unstructured":"X. Lu, Z. Lin, H. Jin, J. Yang, and J. Z. Wang. Rapid: Rating pictorial aesthetics using deep learning. In Proceedings of the ACM International Conference on Multimedia, pages 457--466, 2014.","DOI":"10.1145\/2647868.2654927"},{"key":"key-10.1145\/3041021.3054193-23","doi-asserted-by":"crossref","unstructured":"J. Machajdik and A. Hanbury. Affective image classification using features inspired by psychology and art theory. In Proceedings of the international conference on Multimedia, pages 83--92, 2010.","DOI":"10.1145\/1873951.1873965"},{"key":"key-10.1145\/3041021.3054193-24","unstructured":"K. Mo, B. Liu, L. Xiao, Y. Li, and J. Jiang. Image feature learning for cold start problem in display advertising. In IJCAI'15 Machine Learning Track, 2015."},{"key":"key-10.1145\/3041021.3054193-25","doi-asserted-by":"crossref","unstructured":"M. Nishiyama, T. Okabe, I. Sato, and Y. Sato. Aesthetic quality classification of photographs based on color harmony. In Proceedings on IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR, pages 33--40, 2011.","DOI":"10.1109\/CVPR.2011.5995539"},{"key":"key-10.1145\/3041021.3054193-26","unstructured":"S. Owen and J. Rabin. W3c mobileok basic tests 1.0. W3C Candidate Recommendation, 30, 2007."},{"key":"key-10.1145\/3041021.3054193-27","unstructured":"K. Oyibo, Y. S. Ali, and J. Vassileva. An empirical analysis of the perception of mobile website interfaces and the influence of culture. In Proceedings of the International Workshop on Personalization in Persuasive Technology (PPT'16), Salzburg, Italy, 2016."},{"key":"key-10.1145\/3041021.3054193-28","doi-asserted-by":"crossref","unstructured":"F. Qian, S. Sen, and O. Spatscheck. Characterizing resource usage for mobile web browsing. In Proceedings of the 12th annual international conference on Mobile systems, applications, and services, pages 218--231, 2014.","DOI":"10.1145\/2594368.2594372"},{"key":"key-10.1145\/3041021.3054193-29","unstructured":"M. Redi, N. O'Hare, R. Schifanella, M. Trevisiol, and A. Jaimes. 6 seconds of sound and vision: Creativity in micro-videos. Computer."},{"key":"key-10.1145\/3041021.3054193-30","unstructured":"M. Redi, D. Quercia, L. T. Graham, and S. D. Gosling. Like partying? your face says it all. predicting the ambiance of places with profile pictures. pharXiv preprint arXiv:1505.07522, 2015."},{"key":"key-10.1145\/3041021.3054193-31","doi-asserted-by":"crossref","unstructured":"K. Reinecke, T. Yeh, L. Miratrix, R. Mardiko, Y. Zhao, J. Liu, and K. Z. Gajos. Predicting users' first impressions of website aesthetics with a quantification of perceived visual complexity and colorfulness. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 2049--2058, 2013.","DOI":"10.1145\/2470654.2481281"},{"key":"key-10.1145\/3041021.3054193-32","unstructured":"R. Schifanella, M. Redi, and L. M. Aiello. An image is worth more than a thousand favorites: Surfacing the hidden beauty of flickr pictures. In ICWSM'15: Proceedings of the 9th AAAI International Conference on Weblogs and Social Media. AAAI, 2015."},{"key":"key-10.1145\/3041021.3054193-33","doi-asserted-by":"crossref","unstructured":"D. Sculley, R. G. Malkin, S. Basu, and R. J. Bayardo. Predicting bounce rates in sponsored search advertisements. In knowledge discovery and data mining, 2009.","DOI":"10.1145\/1557019.1557161"},{"key":"key-10.1145\/3041021.3054193-34","doi-asserted-by":"crossref","unstructured":"E. Sodomka, S. Lahaie, and D. Hillard. A predictive model for advertiser value-per-click in sponsored search. In International Conference on World Wide Web, 2013.","DOI":"10.1145\/2488388.2488491"},{"key":"key-10.1145\/3041021.3054193-35","doi-asserted-by":"crossref","unstructured":"O. Starov, S. Vilkomir, A. Gorbenko, and V. Kharchenko. Testing-as-a-service for mobile applications: state-of-the-art survey. In Dependability Problems of Complex Information Systems, pages 55--71. Springer, 2015.","DOI":"10.1007\/978-3-319-08964-5_4"},{"key":"key-10.1145\/3041021.3054193-36","unstructured":"Z. Wang, H. R. Sheikh, and A. C. Bovik. No-reference perceptual quality assessment of jpeg compressed images. In Image Processing. 2002. Proceedings. 2002 International Conference on, volume 1, pages I--477. IEEE, 2002."},{"key":"key-10.1145\/3041021.3054193-37","doi-asserted-by":"crossref","unstructured":"X. S. Zheng, I. Chakraborty, J. J.-W. Lin, and R. Rauschenberger. Correlating low-level image statistics with users-rapid aesthetic and affective judgments of web pages. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 1--10, 2009.","DOI":"10.1145\/1518701.1518703"},{"key":"key-10.1145\/3041021.3054193-38","doi-asserted-by":"crossref","unstructured":"C. Zhong, D. Karamshuk, and N. Sastry. Predicting pinterest: Automating a distributed human computation. In Proceedings of the 24th International Conference on World Wide Web, WWW '15, pages 1417--1426, 2015.","DOI":"10.1145\/2736277.2741671"},{"key":"key-10.1145\/3041021.3054193-39","doi-asserted-by":"crossref","unstructured":"K. Zhou, M. Redi, A. Haines, and M. Lalmas. Predicting pre-click quality for native advertisements. In Proceedings of the 25th International Conference on World Wide Web, pages 299--310. 2016.","DOI":"10.1145\/2872427.2883053"}],"event":{"number":"26","sponsor":["SIGWEB, ACM Special Interest Group on Hypertext, Hypermedia, and Web","IW3C2, International World Wide Web Conference Committee"],"acronym":"WWW '17 Companion","name":"the 26th International Conference","start":{"date-parts":[[2017,4,3]]},"location":"Perth, Australia","end":{"date-parts":[[2017,4,7]]}},"container-title":["Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3041021.3054193","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3054193&ftid=1865171&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,29]],"date-time":"2025-06-29T19:21:21Z","timestamp":1751224881000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3041021.3054193"}},"subtitle":["Characterising User Experience in Sponsored Search Landing Pages"],"proceedings-subject":"World Wide Web Companion","short-title":[],"issued":{"date-parts":[[2017]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1145\/3041021.3054193","relation":{},"subject":[],"published":{"date-parts":[[2017]]}}}