مقاله کنفرانسی سال ۱۳۹۲ انگلیسی

Targeted Advertisement in Social Networks using Recommender Systems

Targeted Advertisement in Social Networks using Recommender Systems

چکیده مقاله

Within the emergence of social web web 2 0 , new platform in technology named social networks, brought in to being Social networks SN become more crowded and their rapidlygrowth caused scientists to search for methods analyzing the data which is implicated in social networks Social network analysis with special attention to SN’s graph is a method that helps data extraction These data could be used in targeted advertisements Ad which couldimpress users more In the field of e advertisements, presenting ads and sales are combined together using hypertexts or hypermedia to the nearest retailer or e shops So, targeted advertisement could be mentioned as an effective solution in the field of marketing on theweb Scientists have been focused on various variables and features that could be considered to target users in an appropriate way While mentioning them, some new features are added In this article, a framework has been proposed which facilitate targeted advertisements insocial networks’ platform; using social networks information, previous advertisements and their status to have more precise information for recommender systems Recommender system is used as a tool to target each user according to its preferences and interests Themain goal is to show the most effective advertisements in sidebar and attract users to shareword of mouth WOM advertisements with each other Considering user’s type through their activity in a social network and omitting repetitive advertisements ease our aim

کلیدواژه‌ها

advertisement social networks word of mouth recommender systems multimedia mining

نویسندگان

تصویر Ahmad.A Kardan

Ahmad.A Kardan

Department Of Computer Engineering, Amirkabir University of Science and Technology Tehran, Iran

تصویر Maryam Hooman

Maryam Hooman

Department Of Computer Engineering Amirkabir University of Science and Technology Tehran, Iran

شیوه ارجاع

Kardan, Ahmad.A and Hooman, Maryam,1392,Targeted Advertisement in Social Networks using Recommender Systems,7th International Conference on e- Commerce whit focus on e-Security,Kish Island

ارائه‌شده در

پوستر مجموعه مقالات هفتمین کنفرانس بین المللی تجارت الکترونیک در کشورهای در حال توسعه با رویکرد بر امنیت ECDC2013 مجموعه مقالات هفتمین کنفرانس بین المللی تجارت الکترونیک در کشورهای در حال توسعه با رویکرد بر امنیت ECDC201328 فروردین 1392 · جزیره کیش
ادامه مسیر پژوهش

مقالات مرتبط

مقاله کنفرانسی سال ۱۳۸۹ ۲,۷۲۷ مشاهده

ERP READINESS ASSESSMENT MODEL FOR IMPLEMENTING AN ERP SYSTEM

Organizations must be agile in competitive markets in order to meet customers' satisfaction, So Enterpri…

criteriaERP implementationERP Selection
مقاله کنفرانسی سال ۱۳۹۲ ۲,۶۲۰ مشاهده

A Survey of Security Risks in Public Mobile Cloud

Cloud computing in mobile platforms has invoked a new wave of evolution in the rapidly developing mobile…

Cloud ComputingMobile ecosystemM-commerce
مقاله کنفرانسی سال ۱۳۹۲ ۲,۶۱۵ مشاهده

A New Trust Model for B2C E-Commerce Based on 3D User Interfaces

Lack of trust is one of the key bottle necks in e commerce development Nowadays many advanced technologi…

Computational cultural modelingElectronic commerceGraphical user interfaces
مقاله کنفرانسی سال ۱۳۹۲ ۲,۵۱۴ مشاهده

A novel file integrity monitoring method via introspection virtual machine

Nowadays, critical systems are being virtualized in the name of, amongst other things,cost savings The f…

file integritysemantic gapVirtual machine introspection
مقاله کنفرانسی سال ۱۳۸۹ ۲,۴۹۷ مشاهده

A STRATEGIC MODEL IN USING MOBILE BANKING IN IRAN

With the improvement of mobile technologies and devices, banking users are able to conduct bankingservic…

M-commerceM-bankingStrategic Management
مقاله کنفرانسی سال ۱۳۸۹ ۲,۴۹۱ مشاهده

APPLYING TECHNOLOGY ACCEPTANCE MODEL TO E-RECRUITMENT CONTEXT

Nowadays, online recruiting has become a major recruitment tool for many organizations However, little i…

Technology Acceptance ModelE-recruitmentPerceived Usefulness