Using RSSI Simple Localization Method to Implement the Context-Aware and Social Recommendation System

2013 ◽  
Vol 479-480 ◽  
pp. 1213-1217
Author(s):  
Mu Yen Chen ◽  
Ming Ni Wu ◽  
Hsien En Lin
Keyword(s):  
Social Media ◽  
Social Relations ◽  
Context Awareness ◽  
Recommendation System ◽  
Product Information ◽  
Indoor Localization ◽  
Context Aware ◽  
Social Recommendation ◽  
Localization Method ◽  
The Social

This study integrates the concept of context-awareness with association algorithms and social media to establish the Context-aware and Social Recommendation System (CASRS). The Simple RSSI Indoor Localization Module (SRILM) locates the user position; integrating SRILM with Apriori Recommendation Module (ARM) provides effective recommended product information. The Social Media Recommendation Module (SMRM) connects to users social relations, so that the effectiveness for users to gain product information is greatly enhanced. This study develops the system based on actual context.

scholarly journals SRRTC: Social Recommendation Based on Relationship Transmission with Convergence Algorithm

2017 ◽  
Author(s):  
Huakang Li ◽  
Yixiong Bian ◽  
Xiuying Xu ◽  
Guozi Sun
Keyword(s):  
Social Relations ◽  
Recommendation System ◽  
Activation Function ◽  
Transfer Model ◽  
Social Recommendation ◽  
Data Sparseness ◽  
System A ◽  
The Social ◽  
Relationship Of ◽  
The Relationship

Social recommendation is almost as the integration of the business platform and social platform, and gradually become a top in recommendation system. Social recommendation algorithm solves the problem of cold start and data sparseness for traditional commodity, while the internal structure of the relationship graph in social relations has not been fully excavated. This paper proposes two models of Micro Relation Transfer Model and Macro Relation Transfer Model of social relations, and applies the social relations transfer models into the social recommendation system. A relationship graph is built from the relationship between customers on the Internet. Micro Relation Transfer Model establishes the transfer activation function by calculating the relationship between the two customers using the similarity of interests set. Micro Relation Transfer Model spreads the relationship of friends by calculating the proportion of common neighbors held by the customer's social relations. In order to effectively control the transmission range and effect of social relations graph, we introduce pruning algorithm based on Monte Carlo Decision Tree convergence algorithm. The experimental results show that SRRTC algorithm enhances the success rate and stability significantly.

scholarly journals Intention to Online Shopping on Social Media

2021 ◽  
Vol 2 (2) ◽  
pp. 119
Author(s):  
Anita Akhirruddin
Keyword(s):  
Social Media ◽  
Online Shopping ◽  
Product Information ◽  
High Growth ◽  
Quality Of Information ◽  
Social Media Site ◽  
The Social ◽  
Quality Of Products ◽  
High Level

high growth of online shopping in Indonesia gave rise to many onlien websites and platforms in Indonesia. Facebook, which is one of the social networks that many people use around the world, is one of the online selling media that is in great demand because it can reach more people. Shopping online on Facebook in addition to providing benefits for sellers and buyers. Online shopping on Facebook requires a high level of trust from buyers regarding the quality of products and serv ices, and ease in obtaining product information and payments because there are no guarantees such as online shop platforms such as shoope, tokopedia, lazada and others which before the goods are received by the customer, then the money from the buyer can not be disbursed. So researchers are interested in researching online shopping interests on the social media site facebook. The results obtained are variable trust, ease of transaction and quality of information positively affect the interest in buying online on facebook.

scholarly journals Engels’s Theory of Social Murder and the Spectacle of Fascism: A Critical Enquiry into Digital Labour and its Alienation

2020 ◽  
Vol 19 (1) ◽  
pp. 52-67
Author(s):  
Aishik Saha
Keyword(s):  
Social Media ◽  
Working Class ◽  
Social Relations ◽  
Authoritarian Regimes ◽  
Digital Capitalism ◽  
The Social ◽  
Theory Of Value ◽  
Forms Of Violence ◽  
The Impact ◽  
Similar Development

In this paper, I shall attempt to respond to the charge that the digital labour theory, as developed by Christian Fuchs, doesn’t faithfully stick to the Marxist schema of the Labour Theory of Value by arguing that Marx’s critique of capitalism was based on the social and material cost of exploitation and the impact of capitalist exploitation of the working class. Engels’s analysis of The Condition of The Working Class in England links the various forms of violence faced by the working class to the bourgeois rule that props their exploitation. I shall argue, within the framework of Critical Social Media Studies, that the rapid advance of fascist and authoritarian regimes represents a similar development of violence and dispossession, with digital capitalism being a major factor catalysing the rifts within societies. It shall be further argued that much like the exploitative nature of labour degrades social linkages and creates conditions of that exaggerates social contradictions, the “labour” performed by social media users degenerates social relations and promotes a hyper-violent spectacle that aids and abets fascist and authoritarian regimes.

Utopia, Labor, and Informational Capitalism

2015 ◽  
pp. 49-68
Author(s):  
Marco Briziarelli
Keyword(s):  
Social Media ◽  
Social Change ◽  
Social Relations ◽  
Social Contexts ◽  
User Generated Content ◽  
Economic Approach ◽  
Informational Capitalism ◽  
The Social ◽  
Liberal Ideology ◽  
Political Economic

Through the lens of a political economic approach, I consider the question whether or not social media can promote social change. I claim that whereas media have consistently channeled technological utopia/dystopia, thus be constantly linked to aspirations and fear of social change, the answer to that question does not depend on their specific nature but on historically specific social relations in which media operate. In the case here considered, it requires examining the social relations re-producing and produced by informational capitalism. More specifically, I examine how the productive relations that support user generated content practices of Facebook users affect social media in their capability to reproduce and transform existing social contexts. Drawing on Fuchs and Sevignani's (2013) distinction between “work” and “labor” I claim that social media reflect the ambivalent nature of current capitalist mode of production: a contest in which exploitative/emancipatory as well as reproductive/transformative aspects are articulated by liberal ideology.

Customer Engagement

2020 ◽  
pp. 163-176
Author(s):  
Robin Cheng
Keyword(s):  
Social Media ◽  
Product Information ◽  
Customer Engagement ◽  
Social Commerce ◽  
Media Technologies ◽  
Product Service ◽  
The Social ◽  
Innovative Products ◽  
Managerial Implications ◽  
Use Of Social Media

This chapter focused on exploring the engagement in which consumers interact with each other while conducting online shopping activities, such as discovering products, sharing product information, and/or collaboratively making shopping decisions. At the core of the product/service offering, successful shopping models will be able to meet the needs of highly engaged shoppers. In order to develop sustainable shopping model for this group of shoppers, social support theory could explain the current phenomenon of the use of social media for shopping. The social media technologies facilitated collaborative learning and collaborative improvement on the sale of unconventional and innovative products. The chapter contributes in social commerce innovations and provides managerial implications for understanding the overall interactions of social commerce.

Using Notification Systems to Create Social Places for Online Learning

2011 ◽  
pp. 1040-1050
Author(s):  
James M. Laffey ◽  
Christopher J. Amelung
Keyword(s):  
Online Learning ◽  
Context Awareness ◽  
Contextual Information ◽  
Learning Activity ◽  
Course Management Systems ◽  
Context Aware ◽  
Learning Context ◽  
Notification System ◽  
The Social ◽  
Critical Components

Context-aware activity notification systems have potential to improve and support the social experience of online learning. The authors of this chapter have developed a Context-aware Activity Notification System (CANS) that monitors online learning activities and represents relevant contextual information by providing notification and making the learning activity salient to other participants. The chapter describes previous efforts to develop and support online learning context awareness systems; it also defines the critical components and features of such a system. It is argued that notification systems can provide methods for using the context of activity to support members’ understanding of the meaning of activity. When designed and implemented effectively, CANS can turn course management systems (CMS) into technologies of social interaction to support the social requirements of learning.

scholarly journals The Effect of Social Media Use on Depressive Symptoms in Older Adults with Self-Reported Hearing Impairment: An Empirical Study

Healthcare ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1403
Author(s):  
Yiming Ma ◽  
Changyong Liang ◽  
Xuejie Yang ◽  
Haitao Zhang ◽  
Shuping Zhao ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Social Media ◽  
Depressive Symptoms ◽  
Older People ◽  
Hearing Impairment ◽  
Social Isolation ◽  
Social Relations ◽  
The Social ◽  
Subjective Aging

Older people with hearing impairment are more likely to develop depressive symptoms due to physical disability and loss of social communication. This study investigated the effects of social media on social relations, subjective aging, and depressive symptoms in these older adults based on the stimulus-organism-response (S-O-R) framework. It provides new empirical evidence to support improving the mental health and rebuilding the social relations of older people. A formal questionnaire was designed using the Wenjuanxing platform and distributed online through WeChat; 643 valid questionnaires were received from older people with self-reported hearing impairments, and SmartPLS 3.28 was used to analyze the data. The results show that (1) social media significantly impacts the social relations of older people with hearing impairment (social networks, β = 0.132, T = 3.444; social support, β = 0.129, T = 2.95; social isolation, β = 0.107, T = 2.505). (2) For these older people, social isolation has the biggest impact on their psychosocial loss (β = 0.456, T = 10.458), followed by the impact of social support (β = 0.103, T = 2.014); a hypothesis about social network size was not confirmed (β = 0.007, T = 0.182). Both social media (β = 0.096, T = 2.249) and social support (β = 0.174, T = 4.434) significantly affect the self-efficacy of hearing-impaired older people. (3) Both subjective aging (psychosocial loss, β = 0.260, T = 6.036; self-efficacy, β = 0.106, T = 3.15) and social isolation (β = 0.268, T = 6.307) significantly affect depressive symptoms in older people with hearing impairment. This study expands the theories of social media aging cognition, social support, and social networks and can provide practical contributions to the social media use and mental health of special persons 60 years and older.

scholarly journals Suburban Dissent

2020 ◽  
Vol 6 (1) ◽  
pp. 201-217
Author(s):  
Jocelyn D. Avery
Keyword(s):  
Social Media ◽  
Political Economy ◽  
Social Relations ◽  
Aboriginal People ◽  
Media Reporting ◽  
Spatial Approach ◽  
The Social ◽  
History Of ◽  
Western Australian

This article discusses a Western Australian community’s campaign against the development of a disability justice center in their Perth neighborhood. The history of the location provides context for an examination of the campaign that draws on the mainstream and social media reporting of the protests. Taking a spatial approach to the analysis situates the disability justice center as an unwanted place within the neighborhood space as imagined, created and reproduced by the residents. The center was, in effect, socially produced by the social relations and political economy of the campaign long before it was a built reality. While politics lay at the heart of the protests, the analysis reveals groups that were marginalized by the campaign and excluded from the community. The campaign brought the community together to protest against the inclusion of anomalous others in their neighborhood, but at the expense of the potential occupants of the disability justice center, many of whom are Aboriginal people. I argue that protests can bring people together and reinforce the idea of community, but protests also reveal who is excluded—inadvertently or not—and may compromise the rights of these “others.”

scholarly journals Use of Digital Technologies and Social Media and the Social Relationships of Teenagers

2019 ◽  
Vol 5 (2) ◽  
pp. 103-110
Author(s):  
Małgorzata Chmielewska ◽  
Mariusz Z. Jędrzejko
Keyword(s):  
Social Media ◽  
Social Relationships ◽  
Social Relations ◽  
Digital Technologies ◽  
Social Contacts ◽  
The Social ◽  
Life Context ◽  
Refusal To Participate ◽  
Technology Abuse ◽  
Depth Interviews

Abstract Polish pedagogical and psychological literature as well as mass media more and more often inform about disorders of competences and social relations of teenagers, as a result of abuse of digital technologies, especially smartphones. The authors analysed 31 cases of patients with cyberabuse and addictions at the Social Prevention Centre in terms of the occurrence, intensity and character of the disappearance of their real social contacts, as well as their behaviour in small natural peer groups. The obtained results were compared with 49 groups of adults and parents of patients. Research based on participatory observation and in-depth interviews showed that teenagers devote over 62% less time to personal social relations than their parents, their time of real social relations with parents is about 38 minutes per day, create atomistic attitudes towards family (e.g. refusal to participate in common meals), have shallow and narrow groups of friends, and prefer borrowed contacts (through social media). The average declared number of teenagers’ friends in social media exceeds 540, while their parents use smartphones in less than 140. Young respondents use smartphones in almost every social and life context (e.g. in toilets, in church, at school, during meals). The research confirmed the occurrence of digital technology abuse. The article ends with preventive delegations.

The Dynamics of Content Popularity in Social Media

2011 ◽  
pp. 17-33
Author(s):  
Symeon Papadopoulos ◽  
Athena Vakali ◽  
Ioannis Kompatsiaris
Keyword(s):  
Social Media ◽  
Social Relations ◽  
Online Social Networks ◽  
Web Pages ◽  
Social Bookmarking ◽  
Consumption Behavior ◽  
Content Consumption ◽  
The Social ◽  
Content Popularity ◽  
The Impact

Social Bookmarking Systems (SBS) have been widely adopted in the last years, and thus they have had a significant impact on the way that online content is accessed, read and rated. Until recently, the decision on what content to display in a publisher’s web pages was made by one or at most few authorities. In contrast, modern SBS-based applications permit their users to submit their preferred content, to comment on and to rate the content of other users and establish social relations with each other. In that way, the vision of the social media is realized, i.e. the online users collectively decide upon the interestingness of the available bookmarked content. This paper attempts to provide insights into the dynamics emerging from the process of content rating by the user community. To this end, the paper proposes a framework for the study of the statistical properties of an SBS, the evolution of bookmarked content popularity and user activity in time, as well as the impact of online social networks on the content consumption behavior of individuals. The proposed analysis framework is applied to a large dataset collected from digg, a popular social media application.

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