Topic
Face (sociological concept)
About: Face (sociological concept) is a research topic. Over the lifetime, 5171 publications have been published within this topic receiving 96109 citations. The topic is also known as: Lose face & Face (sociological concept).
Papers published on a yearly basis
Papers
More filters
••
TL;DR: VisualTextRank as discussed by the authors proposes an unsupervised method to augment input ad text using semantically similar ads, and extract the image query from the augmented ad text by leveraging both the text and image of similar ads for better keyword extraction.
Abstract: Numerous online stock image libraries offer high quality yet copyright free images for use in marketing campaigns. To assist advertisers in navigating such third party libraries, we study the problem of automatically fetching relevant ad images given the ad text (via a short textual query for images). Motivated by our observations in logged data on ad image search queries (given ad text), we formulate a keyword extraction problem, where a keyword extracted from the ad text (or its augmented version) serves as the ad image query. In this context, we propose VisualTextRank: an unsupervised method to (i) augment input ad text using semantically similar ads, and (ii) extract the image query from the augmented ad text. VisualTextRank builds on prior work on graph based context extraction (biased TextRank in particular) by leveraging both the text and image of similar ads for better keyword extraction, and using advertiser category specific biasing with sentence-BERT embeddings. Using data collected from the Verizon Media Native (Yahoo Gemini) ad platform's stock image search feature for onboarding advertisers, we demonstrate the superiority of VisualTextRank compared to competitive keyword extraction baselines (including an $11\%$ accuracy lift over biased TextRank). For the case when the stock image library is restricted to English queries, we show the effectiveness of VisualTextRank on multilingual ads (translated to English) while leveraging semantically similar English ads. Online tests with a simplified version of VisualTextRank led to a 28.7% increase in the usage of stock image search, and a 41.6% increase in the advertiser onboarding rate in the Verizon Media Native ad platform.
106 citations
••
TL;DR: In this article, the authors trace the evolution of FIDO protocols by identifying the technical characteristics and security requirements throughout the different versions while providing a comprehensive study on the different markets (e.g., digital banking, social networks, e-government, etc.), applicability, ease of use, extensibility and future security considerations.
Abstract: Unequivocally, a single man in possession of a strong password is not enough to solve the issue of security. Studies indicate that passwords have been subjected to various attacks, regardless of the applied protection mechanisms due to the human factor. The keystone for the adoption of more efficient authentication methods by the different markets is the trade-off between security and usability. To bridge the gap between user-friendly interfaces and advanced security features, the Fast Identity Online (FIDO) alliance defined several authentication protocols. Although FIDO's biometric-based authentication is not a novel concept, still daunts end users and developers, which may be a contributor factor obstructing FIDO's complete dominance of the digital authentication market. This paper traces the evolution of FIDO protocols, by identifying the technical characteristics and security requirements of the FIDO protocols throughout the different versions while providing a comprehensive study on the different markets (e.g., digital banking, social networks, e-government, etc.), applicability, ease of use, extensibility and future security considerations. From the analysis, we conclude that there is currently no dominant version of a FIDO protocol and more importantly, earlier FIDO protocols are still applicable to emerging vertical services.
106 citations
••
TL;DR: GoWeB as discussed by the authors adopts a psychologically-sound taxonomy of higher-ordered goals and learns to build their representations in a structure-preserving manner, then incorporates the resulting representations for enhancing the experiences of common activities people perform on the web.
Abstract: Motives or goals are recognized in psychology literature as the most fundamental drive that explains and predicts why people do what they do, including when they browse the web. Although providing enormous value, these higher-ordered goals are often unobserved, and little is known about how to leverage such goals to assist people's browsing activities. This paper proposes to take a new approach to address this problem, which is fulfilled through a novel neural framework, Goal-directed Web Browsing (GoWeB). We adopt a psychologically-sound taxonomy of higher-ordered goals and learn to build their representations in a structure-preserving manner. Then we incorporate the resulting representations for enhancing the experiences of common activities people perform on the web. Experiments on large-scale data from Microsoft Edge web browser show that GoWeB significantly outperforms competitive baselines for in-session web page recommendation, re-visitation classification, and goal-based web page grouping. A follow-up analysis further characterizes how the variety of human motives can affect the difference observed in human behavioral patterns.
106 citations
••
TL;DR: In this article, the authors found that learning with hobbyist equipment and online social networks could emulate using industrial equipment in shared workshops, and that at-home digital fabrication offered unique learning opportunities including more iteration, machine tuning, and maintenance.
Abstract: Digital fabrication courses that relied on physical makerspaces were severely disrupted by COVID-19. As universities shut down in Spring 2020, instructors developed new models for digital fabrication at a distance. Through interviews with faculty and students and examination of course materials, we recount the experiences of eight remote digital fabrication courses. We found that learning with hobbyist equipment and online social networks could emulate using industrial equipment in shared workshops. Furthermore, at-home digital fabrication offered unique learning opportunities including more iteration, machine tuning, and maintenance. These opportunities depended on new forms of labor and varied based on student living situations. Our findings have implications for remote and in-person digital fabrication instruction. They indicate how access to tools was important, but not as critical as providing opportunities for iteration; they show how remote fabrication exacerbated student inequities; and they suggest strategies for evaluating trade-offs in remote fabrication models with respect to learning objectives.
106 citations
••
TL;DR: This work presents an FPGA-based monitoring approach by compiling an RTLola specification into synthesizable VHDL code, a stream-based specification language capable of expressing complex real-time properties while providing an upper bound on the execution time and memory requirements.
Abstract: An essential part of cyber-physical systems is the online evaluation of real-time data streams. Especially in systems that are intrinsically safety-critical, a dedicated monitoring component inspecting data streams to detect problems at runtime greatly increases the confidence in a safe execution. Such a monitor needs to be based on a specification language capable of expressing complex, high-level properties using only the accessible low-level signals. Moreover, tight constraints on computational resources exacerbate the requirements on the monitor. Thus, several existing approaches to monitoring are not applicable due to their dependence on an operating system. We present an FPGA-based monitoring approach by compiling an RTLola specification into synthesizable VHDL code. RTLola is a stream-based specification language capable of expressing complex real-time properties while providing an upper bound on the execution time and memory requirements. The statically determined memory bound allows for a compilation to an FPGA with a fixed size. An advantage of FPGAs is a simple integration process in existing systems and superb executing time. The compilation results in a highly parallel implementation thanks to the modular nature of RTLola specifications. This further increases the maximal event rate the monitor can handle.
106 citations