We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Trust, Risk, Reputation and Recommendation on the Web
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Trust, Risk, Reputation and Recommendation on the Web
Business IntelligenceData Mining

Trust, Risk, Reputation and Recommendation on the Web

SandroSaitta
SandroSaitta
2 Min Read
Trust, Risk, Reputation and Recommendation on the Web
Illustration generated with Qwen Image.
SHARE

TR4Web2009 (Trust, Risk, Reputation and Recommendation on the Web) is a workshop that will take place in Riga (Latvia) September 7, 2009. I belong to the programm committee of this workshop which is in conjuction with ADBIS’2009, the 13th East-European Conference on Advances in Databases and Information Systems. Here is an excerpt from the website of the workshop:

Recent years have witnessed the transition of the Web from an information repository service to a social and business platform. New, unprecedented services are available on the Web that capitalize on the social aspects of user communities. Crowd-sourcing, user-generated content, folksonomies, social computing, are all examples of services that were made possible by the recent shift in application design paradigms. Unfortunately, pseudoanonymity of Web users combined with strong financial incentives encourage many users to perform malicious activities. These activities range from relatively harmless (e.g. trolling), through irritating (e.g. spamming), up to criminal (e.g. online auction fraud). In order to protect the community of users from malevolent wrong-doers, new tools and techniques need to be developed. In particular, trust, risk and reputation management systems must be designed and implemented to enable the emergence of fairness in Web environments. In parallel with user protection, user accessibility to high quality sources in Web environments must be granted. Recommendation systems are the primary tool to allow users to access most valuable sources.

For more information, you can visit the website of TR4Web2009.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article's core relationship is workload-by-workload decision-making for cloud migration, where s
Which Workloads Should Move to the Cloud?
Cloud Computing Exclusive IT
Flat editorial illustration: The article positions data governance as a strategic board-level concern rather than a purely techni
Why Data Governance Is Becoming a Board-Level Business Priority
Big Data Exclusive Policy and Governance
Flat editorial illustration: The article argues that data annotation quality should be measured by inspectable gold sets, written
The Top Data Annotation Companies Are Separated by Proof of Quality, Not Headcount
Big Data Exclusive
Flat editorial illustration: The article's core relationship is the gap between raw bank-feed records and reliable subscription i
Subscription Trackers Have a Transaction Data Problem
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Technology News: Artificial Intelligence Can Now Identify PTSD
Artificial IntelligenceExclusive

Technology News: Artificial Intelligence Can Now Identify PTSD

5 Min Read
Self-Service Business Intelligence is Catching On — And Paying Off
Business IntelligenceDecision Management

Self-Service Business Intelligence is Catching On — And Paying Off

4 Min Read
A Professional Criticism
Business IntelligenceCRM

A Professional Criticism

6 Min Read
The Big Data Security Transformation
AnalyticsBest PracticesBig DataData ManagementData MiningData VisualizationExclusivePredictive AnalyticsPrivacyRisk ManagementSecurityWorkforce Data

The Big Data Security Transformation

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?