Improving the Performance of Recommendation on Social Network by Investigating Interactions of Trust and Interest Similarity

On the social media, lots of people share their experiences through various factors like blogs, online ratings, reviews, online polling and tweets. Study shows that the factors such as interpersonal interest and interpersonal influence from the social media which is based on the circles as well as groups of friends leads to opportunities and challenges in solving the problems on datasets. This challenge is for the Recommender System (RS) to find the solution on cold start and sparsity problems. In this paper, on the basis of the probabilistic matrix factorization, the social factors like personal interest, interpersonal influence and interpersonal interest similarity are combined into a unified personalized recommendation model. These factors can improve the associating linkage in latent space. Various datasets are used to conduct the experiments to get the results that show that the proposed model performs better than the existing approaches

Birds of a feather: leader-follower similarity and procedural fairness effects on cooperation

The present paper examines to what extent leader-follower similarity moderates the effect of procedural justice on followers’ cooperation. Using subjective operationalizations of similarity in a vignette study, a field study and an experimental lab study, we demonstrated that the enactment of fair procedures elicits the highest levels of cooperation when followers perceive the leader as similar. This was true when similarity was framed in broad, deep-level terms (Study 1 and 2) or in terms of a single, specific characteristic, i.e., the need to belong (Study 3). In the discussion we elaborate on possible explanatory mechanisms and on the broader context of an integrative approach to leadership research

Antecedents of trust in international joint ventures' (IJVS) performance in developing countries: A review of empirical evidence

Trust in international joint venture has received much attention for the last 20 years. This study highlights the importance of social capital in international joint ventures (IJVs) in developing countries. This paper assesses the impact of antecedents of trust on performance of international joint ventures in developing countries, which is based on social exchange theory. Little attention has been paid to exploring the concept in IJV. The impacts of components of inter partner-fits and relational factors on trust and the effect of trust on performance of IJVs will be considered. In addition the impact of religion and country risk on level of trust in IJVs in these countries will be evaluated. A framework has been developed based on this review analyses and integrates empirical evidence in order to identify convergence and conflict in IJV. The paper addresses a problem of relevance to both international academics and practitioners in addressing managerial implications. It is hoped that the study will provide a meaningful implication to the process of selection of IJV partners

Modelling trust in semantic web applications

This paper examines some of the barriers to the adoption of car-sharing, termed carpooling in the US, and develops a framework for trusted recommendations. The framework is established on a semantic modelling approach putting forward its suitability to resolving adoption barriers while also highlighting the characteristics of trust that can be exploited. Identification is made of potential vocabularies, ontologies and public social networks which can be used as the basis for deriving direct and indirect trust values in an implementation

Travel recommendations in a mobile tourist information system

An advanced mobile tourist information system delivers information about sights and events on a tourists travel route. The system should be personalized in its interaction with the tourist. Data that can be used for personalization are: the tourists interest profile, an analysis of their travel history, and the tourists feedback about sights. Existing mobile information systems for tourists do not tailor their information delivery to the tourists interests. In this paper, we propose the use of personalised recommendations that consider all of the personal information a tourist provides. We adopt and modify techniques from recommended systems to the new application area of mobile tourist information. We propose a number of methods for personalised recommendations; and select a subset of these for implementation. This paper then presents the implemented recommended component of our TIP system for mobile tourist informatio

The state-of-the-art in personalized recommender systems for social networking

With the explosion of Web 2.0 application such as blogs, social and professional networks, and various other types of social media, the rich online information and various new sources of knowledge flood users and hence pose a great challenge in terms of information overload. It is critical to use intelligent agent software systems to assist users in finding the right information from an abundance of Web data. Recommender systems can help users deal with information overload problem efficiently by suggesting items (e.g., information and products) that match users’ personal interests. The recommender technology has been successfully employed in many applications such as recommending films, music, books, etc. The purpose of this report is to give an overview of existing technologies for building personalized recommender systems in social networking environment, to propose a research direction for addressing user profiling and cold start problems by exploiting user-generated content newly available in Web 2.0

Perspective Taking Building Positive Interpersonal Connections and Trustworthiness One Interaction at a Time

There is growing interest in the role of perspective taking in organizations. Perspective taking has been linked to enhanced interpersonal understanding and the strengthening of social bonds. In this chapter, I integrate research from sociology, communications, and psychology to provide insight into why, when, and how perspective taking facilitates the relational resources of positive connections and trustworthy actions. I introduce the importance of a three-dimensional view of perspective taking for building relational resources and present data validating this conceptualization. I conclude with directions for future research