ViTOR: Learning to Rank Webpages Based on Visual Features

The visual appearance of a webpage carries valuable information about its quality and can be used to improve the performance of learning to rank (LTR). We introduce the Visual learning TO Rank (ViTOR) model that integrates state-of-the-art visual features extraction methods by (i) transfer learning from a pre-trained image classification model, and (ii) synthetic saliency heat maps generated from webpage snapshots. Since there is currently no public dataset for the task of LTR with visual features, we also introduce and release the ViTOR dataset, containing visually rich and diverse webpages. The ViTOR dataset consists of visual snapshots, non-visual features and relevance judgments for ClueWeb12 webpages and TREC Web Track queries. We experiment with the proposed ViTOR model on the ViTOR dataset and show that it significantly improves the performance of LTR with visual featuresComment: In Proceedings of the 2019 World Wide Web Conference (WWW 2019), May 2019, San Francisc

Bridging the Gap: An Exploration of Visual Design Criteria Found in the "Accessibility for Ontarians with Disabilities Act, 2005" (AODA)

Information and communication technology such as World Wide Web have gradually become implanted in every aspect of individuals life such as education and training, employment, government, health care, and more. Web provides valuable resources and information for web users including people with disabilities and help them tackle several tasks that would otherwise need much more effort to be done. Accordingly, web accessibility creates a guideline with the aim of making the content of each web page available for a wider range of people with disability, has reached a new level of importance. For this importance, the government of Ontario passed a law titled the Accessibility for Ontarians with Disabilities Act (AODA), 2005, in which all internet and digital services must comply with accessibility guideline by 2025. Several researchers show a gap between professional design work and technically driven accessibility design guidelines. One of the reasons for this gap is an absence of concern for visual design during the process of implementing accessibility guidelines. The aim of this paper is to bridge the existing gap between accessibility and visual design to improve the overall usability and functionality of the system. In order to achieve this, I first identify and explain the visual design related criteria of AODA guidelines, their requirements and their impact on accessibility design. Then I demonstrate my experiment with utilizing visual design elements through the implementation of visual design principles on two selected websites to create an accessible web page that is not only usable but also has an aesthetically appealing interface

A CROSS-CULTURAL STUDY OF INTRUSIVENESS AND FLUENCY EFFECTS OF WEB ADS

Advertising online has increasingly become an important marketing strategy. Along with the rising ad dollars invested on the web, marketers have also devised more powerful ad delivery tactics to garner online consumers’ attention. These powerful online advertising tactics may result in intrusiveness perceptions and processing fluency effects. As Westerners tend to focus on the focal object whereas East Asians tend to pay attention to the focal object and contextual background simultaneously when processing a visual scene, East Asians’ and Westerners’ culturally divergent visual processing styles would lead them to develop varying intrusiveness perceptions and experience differential processing fluency when exposed to web ads. Specifically, we propose that when a web ad’s visibility increases, Westerners will perceive it to be more intrusive than East Asians and East Asians will be more likely to experience perceptual and conceptual fluency to choose a product that is perceptually related to the web ad than Westerners. Designs of the experiment testing the propositions are discussed