scholarly journals A Tag And Social Network Based Recommender System

2021 ◽  
Author(s):  
Sogol Naseri
Keyword(s):  
Social Network ◽  
Social Relationships ◽  
Information Overload ◽  
The Internet ◽  
User Similarity ◽  
Nearest Neighbours ◽  
The Social ◽  
Recommendation Algorithms ◽  
Internet Information ◽  
Positive Results

In the era of the Internet, information overload is a growing problem which refers to the inability of a person to make a decision because the amount of information that she/he needs to process is huge. To solve this problem, recommender systems were proposed to apply various algorithms to recognize users’ preferences and generate recommendations which are likely match the user’s interest on various items. In this thesis, we aim to improve the effectiveness of the recommendation by incorporating the social data into the traditional recommendation algorithms. Hence, we first propose a new user similarity metric that not only considers tagging activities of users, but also incorporates their social relationships, such as friendships and memberships, in measuring the nearest neighbours. Subsequently, we define a new recommendation method which makes use of both user-to-user similarity and item-to-item similarity. Experimental outcomes on a Last.fm dataset show positive results of our proposed approach.

scholarly journals A Tag And Social Network Based Recommender System

2021 ◽  
Author(s):  
Sogol Naseri
Keyword(s):  
Social Network ◽  
Social Relationships ◽  
Information Overload ◽  
The Internet ◽  
User Similarity ◽  
Nearest Neighbours ◽  
The Social ◽  
Recommendation Algorithms ◽  
Internet Information ◽  
Positive Results

In the era of the Internet, information overload is a growing problem which refers to the inability of a person to make a decision because the amount of information that she/he needs to process is huge. To solve this problem, recommender systems were proposed to apply various algorithms to recognize users’ preferences and generate recommendations which are likely match the user’s interest on various items. In this thesis, we aim to improve the effectiveness of the recommendation by incorporating the social data into the traditional recommendation algorithms. Hence, we first propose a new user similarity metric that not only considers tagging activities of users, but also incorporates their social relationships, such as friendships and memberships, in measuring the nearest neighbours. Subsequently, we define a new recommendation method which makes use of both user-to-user similarity and item-to-item similarity. Experimental outcomes on a Last.fm dataset show positive results of our proposed approach.

Name of Russian Podcasts: Semantics and Pragmatics

2021 ◽  
pp. 89-92
Author(s):  
Violetta Gaputina
Keyword(s):  
Social Network ◽  
Language Game ◽  
The Internet ◽  
Internet Site ◽  
Modern Media ◽  
The Social ◽  
Semantics And Pragmatics ◽  
Communicative Space

This article addresses the issues of organizing the communicative space of modern media. The main focus is on considering the names of podcasts - audio blogs on the Internet - in terms of the various language techniques used in them. The material for the study was podcasts operating on the platforms of the Internet site YouTube and the social network Vkontakte in Russia. 9 groups of podcast titles were identified by the type of reception underlying each name. It has been established that the corpus of titles in the podcasting industry is characterized by a wide variety. Among them, original names predominate, built on the basis of a language game, precedent texts, borrowings from other languages, stylistically marked words or implicit meaning, metaphorical, symbolic, ironic component embedded in them, which work on the implementation of a contact-establishing strategy for subsequent communication between mediators and the audience listeners.

scholarly journals Building a Trust Model for Social Network

2018 ◽  
Vol 12 (4) ◽  
pp. 69 ◽  
Author(s):  
Osama Rababah ◽  
Bassam Alqudah
Keyword(s):  
Social Network ◽  
Security Policy ◽  
Major Change ◽  
Trust Model ◽  
Ease Of Use ◽  
The Internet ◽  
Affecting Factors ◽  
Network Characteristics ◽  
The Social ◽  
Student Trust

The revolution in information technology and the use of the internet changed the lifestyle of people. A major change was in the way of shopping. Companies started to offer their products online using social network s and people started to buy from the internet. Using social network has many benefits to the users starting from exploring a large variety of products to the very first way of ordering and the availability of the products 24 hours a day. One of the main problems that is found in using a social network is trusting the using social network social network s. the student concern about trusting to buy from the using social network social network s. Trust is a major concern for the merchant too; his concern is how to gain the student trust and to keep it. Many factors play a major role in acquiring the student trust in the online market. These factors rely on the social network characteristics such as design, interactivity and age and other factors vary from the social network quality, service quality, security policy of the social network, the privacy policy, the guarantee offered, the satisfaction of the user, the ease of use, the risk aversion and the culture factors. This study introduces the trusting affecting factors mentioned above and their effect on the trustworthiness factors (ability, benevolence, and integrity) a trust model has been built to show the relation between these factors and the trustworthiness factors.

scholarly journals Enhanced Hybrid Recommender System using Social Friend Network

2014 ◽  
Vol 10 (4) ◽  
pp. 2023-2031
Author(s):  
Shalmali A. Patil ◽  
Reena Pagare
Keyword(s):  
Collaborative Filtering ◽  
Social Relationships ◽  
Recommender System ◽  
Social Relationship ◽  
Information Overload ◽  
Great Success ◽  
Traditional System ◽  
Use Of Data ◽  
The Social ◽  
Hybrid Recommender

Lots of people employ recommender systems to diminish the information overload over the internet. This leads the user in a personalized manner to hit upon interesting or helpful objects in a huge space of possible options. Amongst different techniques, Collaborative filtering recommender system has pulled off great success. But this technique pays no heed towards the social relationship of the users. This problem gave birth to the Social recommender system technology which possesses the capability to recognize users likings and preferences and their social relationships. In this paper, we present novel method where we combine collaborative filtering recommender system with social friend network to use social relationships. For this, we have made use of data related to users which provides their interests as well as their social relationship. Our method helps to find the friends with dissimilar tastes and determine the close friends amongst direct friends of targeted user which has more similar tastes. This proposed approach resulted in more precise and realistic results than traditional system.

scholarly journals DALE ESA

KRITIS ◽  
2018 ◽  
Vol 27 (1) ◽  
pp. 35-56
Author(s):  
Jos Josia Beeh ◽  
Sri Suwartiningsih ◽  
Elly Esra Kudubun
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Social Interaction ◽  
Social Relationships ◽  
Social Norm ◽  
Daily Life ◽  
Mutual Cooperation ◽  
The Social ◽  
The Village ◽  
Birth Death

The village Bokonusan is the location on the Semau Island and the district of Kupang, East Nusa Tenggara. Norma and refers to the contructual obligations between members of society in accordance with the rules of the costums, trust that refer to expectation and goals together in building in accordance with the values of mutual cooperation of solidarity of the community. As for the porpouse of research to, give me a description of application of the local Dale Esa in the life together in the village Bokonusan, as well as explain the elements of what is contained in the wisdom of Dale Esa as social capital in communities Bokonusan village. The method used is a qualitatve and approach to the contructivism oh the research descriptive aksplanative. Interwoven ily tradition, a marriege, birth, death, a new garden work (teh management of the land) and conflic resolution. The application of valeu to keep in daily life as from of social interaction. In the wisdom of Dale Esa the cooperation between the community refers to social relationships between societies so that, the social network, the obligation, prohibition, the rigth have, between members of the community to help each other as a from social norm, the emergance of the hope and goals together to build together as result the trust.

The effect of retirement on social relationships

2022 ◽  
Vol 0 (0) ◽  
Author(s):  
Simona Lorena Comi ◽  
Elena Cottini ◽  
Claudio Lucifora
Keyword(s):  
Social Network ◽  
Social Relationships ◽  
Causal Effect ◽  
Strong Ties ◽  
The Social ◽  
Using Data

Abstract We analyze the causal effect of retirement on individual social relationships using data from the Survey of Health, Ageing and Retirement in Europe. We find that retirement changes the composition of the individual’s social network, inducing a substitution between weak (friends or colleagues) and strong ties (family), along with an increase in the intensity of the surviving ties, and there is no effect on the network’s size. These changes in the social network’s composition are associated with a higher satisfaction and stronger relationships. Interestingly, females reduce the share of friends while males that of colleagues.

Social Networks and Social Complexity in Female-bonded Primates

2010 ◽  
Author(s):  
Julia Lehmann ◽  
Katherine Andrews ◽  
Robin Dunbar
Keyword(s):  
Social Network ◽  
Social Relationships ◽  
Social Complexity ◽  
Social Bonds ◽  
Primate Brain ◽  
The Social ◽  
Group Members ◽  
Primate Group ◽  
Network Metrics ◽  
The Relationship

Most primates are intensely social and spend a large amount of time servicing social relationships. The social brain hypothesis suggests that the evolution of the primate brain has been driven by the necessity of dealing with increased social complexity. This chapter uses social network analysis to analyse the relationship between primate group size, neocortex ratio and several social network metrics. Findings suggest that social complexity may derive from managing indirect social relationships, i.e. relationships in which a female is not directly involved, which may pose high cognitive demands on primates. The discussion notes that a large neocortex allows individuals to form intense social bonds with some group members while at the same time enabling them to manage and monitor less intense indirect relationships without frequent direct involvement with each individual of the social group.

A Survey of Trust Use and Modeling in Real Online Systems

2013 ◽  
pp. 167-196
Author(s):  
Paolo Massa
Keyword(s):  
Social Relationships ◽  
Information Overload ◽  
The Internet ◽  
Online Systems ◽  
Trust Relationships ◽  
Different Types ◽  
Concept Of Information ◽  
The Web ◽  
Trust Information

This chapter discusses the concept of trust and how trust is used and modeled in online systems currently available on the Web or on the Internet. It starts by describing the concept of information overload and introducing trust as a possible and powerful way to deal with it. It then provides a classification of the systems that currently use trust and, for each category, presents the most representative examples. In these systems, trust is considered as the judgment expressed by one user about another user, often directly and explicitly, sometimes indirectly through an evaluation of the artifacts produced by that user or his/her activity on the system. We hence use the term “trust” to indicate different types of social relationships between two users, such as friendship, appreciation, and interest. These trust relationships are used by the systems in order to infer some measure of importance about the different users and influence their visibility on the system. We conclude with an overview of the open and interesting challenges for online systems that use and model trust information.

Social Network Analysis in Marketing

E-Marketing ◽  
2012 ◽  
pp. 185-197
Author(s):  
Przemyslaw Kazienko ◽  
Piotr Doskocz ◽  
Tomasz Kajdanowicz
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relationships ◽  
Network Data ◽  
Social Network Data ◽  
The Social ◽  
Targeted Marketing ◽  
Potential Customers ◽  
Demographic Features

The chapter describes a method how to perform a classification task without any demographic features and based only on the social network data. The concept of such collective classification facilitates to identify potential customers by means of services used or products purchased by the current customers, i.e. classes they belong to as well as using social relationships between the known and potential customers. As a result, a personalized offer can be prepared for the new clients. This innovative marketing method can boost targeted marketing campaigns.

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