Somayeh Khatiban
ABSTRACT
The term online reputation addresses trust relationships amongst agents in dynamic open systems. These can appear as ratings, recommendations, referrals and feedback. Several reputation models and rating aggregation algorithms have been proposed. However, finding a trusted entity on the web is still an issue as all reputation systems work individually. The aim of this project is to introduce a global reputation system that aggregates people's opinions from different resources (e.g. e-commerce websites, and review) with the help federated search techniques. A sentiment analysis approach is subsequently used to extract high quality opinions and inform how to increase trust in the search result.
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Index Terms
- Building reputation and trust using federated search and opinion mining
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Building reputation and trust using federated search and opinion mining
SIGIR '12: Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrievalThe term online reputation addresses trust relationships amongst agents in dynamic open systems. These can appear as ratings, recommendations, referrals and feedback. Several reputation models and rating aggregation algorithms have been proposed. ...
Fusing and mining opinions for reputation generation
Reputation and recommendation are generated based on opinion fusion and mining.Reputation is visualized with diverse principal opinions in a holistic manner.Generality and accuracy are evaluated with big data in both English and Chinese. The Internet ...
Reputation systems
In our increasingly interconnected world, the need for reputation is becoming more important as larger numbers of people and services interact online. Reputation is a tool to facilitate trust between entities, as it increases the efficiency and ...
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