AI-enabled biometrics in recruiting: Insights from marketers for managers
بیومتریک با استفاده از هوش مصنوعی در جذب نیرو: بینش بازاریابان برای مدیران-2020
Both researchers and practitioners are only in the early stages of examining and understanding the ap- plication of artificial intelligence (AI) in terms of marketing themselves as employers or the open jobs they have. AI has the potential to significantly affect how firms reach, identify, attract, and select human capital. We examine factors that can influence a job candidate’s intent to complete AI-enabled recruiting processes, especially the influence of a firm’s use of biometrics in that process. The results show that (1) social media can increase technology use motivation and AI-enabled recruiting with (2) trendiness as a first stage boundary condition and (3) biometrics as a second stage boundary condition. We contribute to marketing knowledge by identifying that for managers wanting to influence job seekers’ technology use motivation in order to increase their participation in AI-enabled recruiting; they must focus on the indirect effects of trendiness, biometrics, and their social media usage.
Keywords: AI-enabled | Biometrics | Technology use motivation | Trendiness | Recruiting | Social media usage
Efficient techniques for time-constrained information dissemination using location-based social networks
تکنیک های کارآمد برای زمان محدود انتشار اطلاعات محرمانه با استفاده از شبکه های اجتماعی مبتنی بر مکان-2017
Social networks have undergone an explosive growth in recent years. They constitute a central part of users everyday lives as they are used as major tools for the spread of information, ideas and notifications among the members of the network. In this work we investigate the use of location-based social networks as a medium of emergency notifica tion, for efficient dissemination of emergency information among members of the social network under time constraints. Our objective is the following: given a location-based social network comprising a number of mobile users, the social relationships among the users, the set of recipients, and the corresponding timeliness requirements, our goal is to select an appropriate subset of users so that the spread of information is maximized, time constraints are satisfied and costs are considered. We propose LATITuDE, our system that investigates the interactions among the members of the social network to infer their social relationships, and develop scalable dissemination mechanisms that select the most efficient set of users to initiate the dissemination process in order to maximize the information reach among the appropriate receivers within a time window. Our detailed experimental results illustrate that our approach is practical, effectively addresses the problem of informing the appropriate set of users within a deadline when an emergency event occurs, uses a small number of messages, and consistently outperforms its competitors.
Keywords: Distributed systems | Social networks | Information dissemination
Planning for tourism routes using social networks
برنامه ریزی مسیرهای گردشگری با استفاده از شبکه های اجتماعی-2017
Traveling recommendation systems have become very popular applications for organizing and planning tourist trips. Among other challenges, these applications are faced with the task of maintaining updated information about popular tourist destinations, as well as providing useful tourist guides that meet the users preferences. In this work we present the PlanTour, a system that creates personalized tourist plans using the human-generated information gathered from the minube1 traveling social network. The system follows an automated planning approach to generate a multiple-day plan with the most relevant points of interest of the city/region being visited. Particularly, the system collects information of users and points of interest from minube, groups these points with clustering techniques to split the problem into per day sub-problems. Then, it uses an off-the-shelf domain-independent automated planner that finds good quality tourist plans. Unlike other tourist recommender systems, the PlanTour planner is able to organize relevant points of interest taking into account user’s expected drives, and user scores from a real social network. The paper also highlights how to use human provided recommendations to guide the search for solutions of combinatorial tasks. The resulting intelligent system opens new possibilities of combin ing human-generated knowledge with efficient automated techniques when solving hard computational tasks. From an engineering perspective we advocate for the use of declarative representations of problem solving tasks that have been shown to improve modeling and maintenance of intelligent systems.
Keywords: Tourism routes | Automated planning | Recommender systems
ClariSense+: An enhanced traffic anomaly explanation service using social network feeds
ClariSense +: یک سرویس توضیح ناهنجاری ترافیک با استفاده از شبکه های اجتماعی-2017
The explosive growth in social networks that publish real-time content begs the question of whether their feeds can complement traditional sensors to achieve augmented sensing capabilities. One such capability is to explain anomalous sensor readings. In our previous conference paper, we built an automated anomaly clarification service, called ClariSense, with the ability to explain sensor anomalies using social network feeds (from Twitter). In this extended work, we present an enhanced anomaly explanation system that augments our base algorithm by considering both (i) the credibility of social feeds and (ii) the spatial locality of detected anomalies. The work is geared specifically for describing small-footprint anomalies, such as vehicular traffic accidents. The original system used information gain to select more informative microblog items to explain physical sensor anomalies. In this paper, we show that significant improvements are achieved in our ability to explain small-footprint anomalies by accounting for information credibility and further discriminating among high-information-gain items according to the size of their spatial footprint. Hence, items that lack sufficient corroboration and items whose spatial footprint in the blogosphere is not specific to the approximate location of the physical anomaly receive less consideration. We briefly demonstrate the workings of such a system by considering a variety of real-world anomalous events, and comparing their causes, as identified by ClariSense+, to ground truth for validation. A more systematic evaluation of this work is done using vehicular traffic anomalies. Specifically, we consider real-time traffic flow feeds shared by the California traffic system. When flow anomalies are detected, our system automatically diagnoses their root cause by correlating the anomaly with feeds on Twitter. For evaluation purposes, the identified cause is then retroactively compared to official traffic and incident reports that we take as ground truth. Results show a great correspondence between our automatically selected explanations and ground-truth data.
Keywords: Anomaly detection | Sensors | Social data | Information gain | Credibility
Factors Influencing Social Networks Use for Business: Twitter and YouTube Analysis
عوامل موثر بر استفاده از شبکه های اجتماعی برای کسب و کار: تجزیه و تحلیل توییتر و یوتیوب-2017
In this paper the authors aim at determining the factors that influence companies’ representative, both entrepreneurs and managers, into using social networks and in case they do, what are the benefits obtained. Prior research has focused especially on how social networks are used from the perspective of the individuals, while the analysis from the company perspective is limited. The papers previously published on this topic focus mostly on Facebook and less on other networks. Consequently, the authors test eight items for the social networks Twitter and YouTube that even though are not so used by Romanian companies, they have proven to influence the online performance of the business in various sectors with at least 30%.
Keywords: social networks | social media | Twitter | YouTube
The influence of symbolic consumption on experience value and the use of virtual social networks
تأثیر مصرف نمادین بر ارزش تجربه و استفاده از شبکه های اجتماعی مجازی-2017
This research examines how symbolic consumption can be extended to the consumption of experiences. As shown in the results, when customers think that one experience .reinforces their identities, they perceive higher value. In addition, perceived value influences satisfaction and satisfaction influences revisit intention. Furthermore, the results indicate that, when consumers want to materialize their experience, they use the basic tool of virtual social networks. In connection with that, consumers use more of their digital social networks when they perceive congruence between their experience and identity. It is indicated as well that higher social value and satisfaction increases the intensity of the use of social sites. Based on the results, some managerial guidelines are included
KEYWORDS : Symbolic | consumption | Perceived social | value | Experience |consumption | Digital social | networks
استفاده از شبکه های اجتماعی در آموزش: چالش ها و فرصت ها
سال انتشار: 2012 - تعداد صفحات فایل pdf انگلیسی: 4 - تعداد صفحات فایل doc فارسی: 10
شبکه سازی اجتماعی محبوبیت بسیاری را طی چند دهه ی اخیر کسب نموده و امروزه نقش مهمی در زندگی ما دارد. این به ما در بسیاری از حوزه های زندگی همچون بسترهای سیاسی، اقتصادی، و آموزشی کمک می-کند. این مقاله برخی از چالش ها و فرصت ها در بکارگیری شبکه سازی اجتماعی به عنوان یک ابزار آموزشی را خلاصه وار بیان می کند.
کلیدواژه ها: شبکه سازی اجتماعی | آموزش اینترنتی | تحصیل.
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فرصت های بازاریابی با استفاده از شبکه های اجتماعی
سال انتشار: 2011 - تعداد صفحات فایل pdf انگلیسی: 7 - تعداد صفحات فایل doc فارسی: 17
شبکه های اجتماعی، وب سایت هایی هستند که به کاربران اجازه می دهند تا در مورد زمینه های علایق مشابه به ایجاد ارتباط، تبادل دانش و بحث و بررسی پیرامون موضوعات مورد علاقه، و ارزش گذاری بر محصولات و خدمات، و موارد دیگر بپردازند. اگرچه بازاریابی با استفاده از شبکه های اجتماعی هنوز در دوران طفولیت خود بسر می برد، با اینحال، سبب موفقیت بالقوه و چشمگیر کسب و کارها شده است، بشرطیکه بدقت امیخته¬ی فعالیت بازاریابی شود. این مقاله به بحث درمورد مزایا و ریسک هایی می پردازد که بازاریابی به وسیله شبکه های اجتماعی بهمراه دارد. همچنین فرصت های اتی برای شبکه های اجتماعی بویژه شبکه های اجتماعی موبایل، بررسی می شوند.
کلمات کلیدی: شبکه های اجتماعی | بازاریابی | اینترنت
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