scholarly journals A Hybrid Recommendation Method Integrating the Social Trust Network and Local Social Influence of Users

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1496
Author(s):  
Lilei Lu ◽  
Yuyu Yuan ◽  
Xu Chen ◽  
Zhaohui Li
Keyword(s):  
Social Influence ◽  
Recommendation System ◽  
Social Trust ◽  
Extreme Values ◽  
Pearson Correlation ◽  
Trust Network ◽  
Direct Trust ◽  
Similarity Threshold ◽  
The Social ◽  
Hybrid Recommendation

Recommendation system plays an indispensable role in helping users make decisions in different application scenarios. The issue about how to improve the accuracy of a recommendation system has gained widespread concern in both academic and industry fields. To solve this problem, many models have been proposed, but most of them usually focus on a single perspective. Different from the existing work, we propose a hybrid recommendation method based on the users’ social trust network in this study. The proposed method has several advantages over conventional recommendation solutions. First, it offers a reliable two-step way of determining reference users by employing direct trust between users in the social trust network and setting a similarity threshold. Second, it improves the traditional collaborative filtering (CF) method based on a Pearson Correlation Coefficient (PCC) to reduce extreme values in prediction. Third, it introduces a personalized local social influence (LSI) factor into the improved CF method to further enhance the prediction accuracy. Seventy-one groups of random experiments based on the real dataset Epinions in social networks verify the proposed method. The experimental results demonstrate its feasibility, effectiveness, and accuracy in improving recommendation performance.

Social capital and the learning organization

2015 ◽  
Vol 25 (2) ◽  
pp. 208-219
Author(s):  
Wan Idros Wan Sulaiman ◽  
Maizatul Haizan Mahbob ◽  
Shahrul Nazmi Sannusi
Keyword(s):  
Social Capital ◽  
Organizational Communication ◽  
Learning Organization ◽  
Social Trust ◽  
Pearson Correlation ◽  
Social Capital Theory ◽  
Capital Theory ◽  
The Public ◽  
The Social ◽  
Pearson Correlation Test

Department of Information of Malaysia is one of the public organizations directly involved in the provision of information to the public. To ensure that all services rendered acceptable, organizational communication in the Department of Information should be given serious consideration so that each activity can be transformed properly. Therefore, this study was undertaken to assess organizational communication in a learning organization in order to see the extent to which employees have a description of social capital and support to the organization of learning activities. The main purpose of this study is to examine the relationship that is formed through the social interactions between workers and management by integrating the four aspects of social capital, namely social trust, institutional trust, social norms and networking. For this purpose, a total of 190 respondents from the Information Department headquarters staff in Putrajaya was selected for this study. The study uses questionnaires as research tool and analyses key findings using the Pearson correlation test to examine relationships between various aspects. The study also applied social capital theory as the basis of research framework the when analyzing findings. The results showed that staff describe positive social capital within the organization and consider organizational learning as a strategy to improve the performance of the department in the future.

scholarly journals Group Recommendation for Cold Start Users using Hybrid Recommendation Technique

2019 ◽  
Vol 8 (5S3) ◽  
pp. 452-456
Keyword(s):  
Recommender System ◽  
Recommendation System ◽  
Retrieval System ◽  
Data Retrieval ◽  
Cold Start ◽  
Group Recommendation ◽  
Huge Amount ◽  
New Era ◽  
The Social ◽  
Hybrid Recommendation

Recommender system is an data retrieval system that gives customers the recommendations for the items that a customer may be willing to have. It helps in making the search easy by sorting the huge amount of data. We have progressed from the era of paucity to the new era of plethora due to which there is lot of development in the recommender system. In today’s scenario the interaction between the groups of friends, family or colleagues has increased due to the advancement in mobile devices and the social media. So, group recommendation has become a necessity in all kinds of domains. In this paper a system has been proposed using the group recommendation system based on hybrid based filtering method to overcome the cold start user issue which arises when a new user signs in and he/she doesn’t have any past records. So, the recommender system does not have enough information related to the user to recommend an item which will be of his/her interest. The dataset has been taken from the MovieLens is used in the experiment.

Social Influence and the Social Self

1989 ◽  
Vol 34 (5) ◽  
pp. 450-451
Author(s):  
William P. Smith
Keyword(s):  
Social Influence ◽  
Social Self ◽  
The Social

TrustSVD: A Novel Trust-Based Matrix Factorization Model with User Trust and Item Ratings

2017 ◽  
Vol 7 (11) ◽  
pp. 7 ◽  
Author(s):  
K Sobha Rani
Keyword(s):  
Matrix Factorization ◽  
Social Trust ◽  
State Of The Art ◽  
Data Sets ◽  
Real World Data ◽  
Recommendation Algorithm ◽  
Active User ◽  
Factorization Model ◽  
The Social ◽  
Matrix Factorization Technique

Collaborative filtering suffers from the problems of data sparsity and cold start, which dramatically degrade recommendation performance. To help resolve these issues, we propose TrustSVD, a trust-based matrix factorization technique. By analyzing the social trust data from four real-world data sets, we conclude that not only the explicit but also the implicit influence of both ratings and trust should be taken into consideration in a recommendation model. Hence, we build on top of a state-of-the-art recommendation algorithm SVD++ which inherently involves the explicit and implicit influence of rated items, by further incorporating both the explicit and implicit influence of trusted users on the prediction of items for an active user. To our knowledge, the work reported is the first to extend SVD++ with social trust information. Experimental results on the four data sets demonstrate that our approach TrustSVD achieves better accuracy than other ten counterparts, and can better handle the concerned issues.

Resilience and Support Networks for University Students with Disabilities

2018 ◽  
Vol 5 (2) ◽  
pp. 164
Author(s):  
María Leonila García Cedeño ◽  
Anicia Katherine Tarazona Meza ◽  
Robert Gonzalo Cedeño Mejía
Keyword(s):  
Social Networks ◽  
University Students ◽  
Students With Disabilities ◽  
Pearson Correlation ◽  
Support Networks ◽  
Pearson Correlation Coefficient ◽  
Structured Interviews ◽  
Disabled Students ◽  
The Social ◽  
Student Resilience

Resilience is a phenomenon that can be studied in catastrophic situations but also in everyday matters such as disability, this being an alternative way of working in the environment that requires the adaptation of the social networks that contain and support people with this condition. The research was conducted at the Technical University of Manabí applied to the population of students with disabilities. The paper presents an analysis of support networks and their relationship with student resilience. The results related to the application of the Saavedra-Villalta test are shown, which allowed to correlate the level of resilience of the sample studied with the support networks. An analysis linked to the interpretation of the Pearson correlation coefficient is presented. The result obtained is presented by applying semi-structured interviews to a sample of 48 disabled students.

scholarly journals What Drives Continuance Intention towards Social Media? Social Influence and Identity Perspectives

2020 ◽  
Vol 12 (17) ◽  
pp. 7081 ◽  
Author(s):  
Athapol Ruangkanjanases ◽  
Shu-Ling Hsu ◽  
Yenchun Jim Wu ◽  
Shih-Chih Chen ◽  
Jo-Yu Chang
Keyword(s):  
Social Media ◽  
Social Identity ◽  
New Media ◽  
Social Influence ◽  
Perceived Usefulness ◽  
Continuance Intention ◽  
Positive Effects ◽  
The Social ◽  
Media Platform ◽  
Continuous Usage Intention

With the growth of social media communities, people now use this new media to engage in many interrelated activities. As a result, social media communities have grown into popular and interactive platforms among users, consumers and enterprises. In the social media era of high competition, increasing continuance intention towards a specific social media platform could transfer extra benefits to such virtual groups. Based on the expectation-confirmation model (ECM), this research proposed a conceptual framework incorporating social influence and social identity as key determinants of social media continuous usage intention. The research findings of this study highlight that: (1) the social influence view of the group norms and image significantly affects social identity; (2) social identity significantly affects perceived usefulness and confirmation; (3) confirmation has a significant impact on perceived usefulness and satisfaction; (4) perceived usefulness and satisfaction have positive effects on usage continuance intention. The results of this study can serve as a guide to better understand the reasons for and implications of social media usage and adoption.

Feature-based multi-criteria recommendation system using a weighted approach with ranking correlation

2021 ◽  
Vol 25 (4) ◽  
pp. 1013-1029
Author(s):  
Zeeshan Zeeshan ◽  
Qurat ul Ain ◽  
Uzair Aslam Bhatti ◽  
Waqar Hussain Memon ◽  
Sajid Ali ◽  
...  
Keyword(s):  
Recommendation System ◽  
Sources Of Information ◽  
Multiple Features ◽  
Recommendation Algorithms ◽  
Label Correlations ◽  
Feature Based ◽  
Multicriteria Model ◽  
Implicit And Explicit ◽  
Hybrid Recommendation ◽  
Different Sources

With the increase of online businesses, recommendation algorithms are being researched a lot to facilitate the process of using the existing information. Such multi-criteria recommendation (MCRS) helps a lot the end-users to attain the required results of interest having different selective criteria – such as combinations of implicit and explicit interest indicators in the form of ranking or rankings on different matched dimensions. Current approaches typically use label correlation, by assuming that the label correlations are shared by all objects. In real-world tasks, however, different sources of information have different features. Recommendation systems are more effective if being used for making a recommendation using multiple criteria of decisions by using the correlation between the features and items content (content-based approach) or finding a similar user rating to get targeted results (Collaborative filtering). To combine these two filterings in the multicriteria model, we proposed a features-based fb-knn multi-criteria hybrid recommendation algorithm approach for getting the recommendation of the items by using multicriteria features of items and integrating those with the correlated items found in similar datasets. Ranks were assigned to each decision and then weights were computed for each decision by using the standard deviation of items to get the nearest result. For evaluation, we tested the proposed algorithm on different datasets having multiple features of information. The results demonstrate that proposed fb-knn is efficient in different types of datasets.

scholarly journals Solidarity with disabled people in times of crisis: A comparative analysis of Italy and the UK

2021 ◽  
pp. 026858092199450
Author(s):  
Nicola Maggini ◽  
Tom Montgomery ◽  
Simone Baglioni
Keyword(s):  
Social Trust ◽  
Important Determinant ◽  
Social Embeddedness ◽  
Disabled People ◽  
The Social ◽  
Religious Piety ◽  
Active Nature ◽  
The One ◽  
The Uk

Against the background of crisis and cuts, citizens can express solidarity with groups in various ways. Using novel survey data this article explores the attitudes and behaviours of citizens in their expressions of solidarity with disabled people and in doing so illuminates the differences and similarities across two European contexts: Italy and the UK. The findings reveal pools of solidarity with disabled people across both countries that have on the one hand similar foundations such as the social embeddedness and social trust of citizens, while on the other hand contain some differences, such as the more direct and active nature of solidarity in Italy compared to the UK and the role of religiosity as an important determinant, particularly in Italy. Across both countries the role of ‘deservingness’ was key to understanding solidarity, and the study’s conclusions raise questions about a solidarity embedded by a degree of paternalism and even religious piety.

scholarly journals Nurses and the acceptance of innovations in technology-intensive contexts: the need for tailored management strategies

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chiara Barchielli ◽  
Cristina Marullo ◽  
Manila Bonciani ◽  
Milena Vainieri
Keyword(s):  
Social Influence ◽  
Ad Hoc ◽  
New Technologies ◽  
Management Strategies ◽  
Technological Innovations ◽  
Utaut Model ◽  
Use Of Technology ◽  
The Social ◽  
Depth Analysis ◽  
Facilitating Conditions

Abstract Background Several technological innovations have been introduced in healthcare over the years, and their implementation proved crucial in addressing challenges of modern health. Healthcare workers have frequently been called upon to become familiar with technological innovations that pervade every aspect of their profession, changing their working schedule, habits, and daily actions. Purpose An in-depth analysis of the paths towards the acceptance and use of technology may facilitate the crafting and adoption of specific personnel policies taking into consideration definite levers, which appear to be different in relation to the age of nurses. Approach The strength of this study is the application of UTAUT model to analyse the acceptance of innovations by nurses in technology-intensive healthcare contexts. Multidimensional Item Response Theory is applied to identify the main dimensions characterizing the UTAUT model. Paths are tested through two stage regression models and validated using a SEM covariance analysis. Results The age is a moderator for the social influence: social influence, or peer opinion, matters more for young nurse. Conclusion The use of MIRT to identify the most important items for each construct of UTAUT model and an in-depth path analysis helps to identify which factors should be considered a leverage to foster nurses’ acceptance and intention to use new technologies (o technology-intensive devices). Practical implications Young nurses may benefit from the structuring of shifts with the most passionate colleagues (thus exploiting the social influence), the participation in ad hoc training courses (thus exploiting the facilitating conditions), while other nurses could benefit from policies that rely on the stressing of the perception of their expectations or the downsizing of their expectancy of the effort in using new technologies.

Sign in / Sign up

Export Citation Format

Share Document