1. An Overview of Relevance Feedback, by Priyesh Sudra 1 An Overview of Relevance Feedback PRIYESH SUDRA

2. An Overview of Relevance Feedback, by Priyesh Sudra 2 Introduction To Relevance Feedback An Insight Into Relevance Feedback The Techniques Behind Relevance Feedback The Pros And Cons Of Relevance Feedback How Can Relevance Feedback Improved (User Modeling) How Does Relevance Feedback Fit Into The Future Conclusion

3. An Overview of Relevance Feedback, by Priyesh Sudra 3 An Insight Into Relevance Feedback Relevance Feedback is found to be one of the most powerful methods for improving Information Retrieval Systems What are Search Engines? -But this is not efficient and effective enough. So how does Relevance Feedback fit into search engines? The Relevance Feedback is usually presented as a cycle of activity, know as an iteration relevance feedback.

4. An Overview of Relevance Feedback, by Priyesh Sudra 4 An Insight Into Relevance Feedback Iteration Relevance Feedback Process

5. An Overview of Relevance Feedback, by Priyesh Sudra 5 The Techniques Behind Relevance Feedback Technique 1 – Traditional Relevance Feedback (RF) Allows the user to express the information requirements Technique 2 – Probabilistic Relevance Feedback (PRF) Is one of the most advance Relevance Feedback techniques. Other techniques.

6. An Overview of Relevance Feedback, by Priyesh Sudra 6 The Pros And Cons Of Relevance Feedback What kind of information is used for Relevance Feedback? - Usually it is a set of selected terms. But in any case it is never a whole document. How this Information is selected from the documents? - Long documents usually cover several topics. It is very important to refine queries with the right information in order to get better results. How Relevance Feedback information is used? - Relevance Feedback judgments are usually used to calculate a new refined query based on original query.

7. An Overview of Relevance Feedback, by Priyesh Sudra 7 The Pros And Cons Of Relevance Feedback Disadvantages –Relevance Feedback requires terms and queries. –Has the right technique been selected for Relevance Feedback? –Sometimes Relevance Feedback requires more input from the user. Advantages –The main strength of Relevance Feedback? –Users can focus on required relevant information. –Relevance Feedback is a good technique of specifying an information need. –Users participate more in the search query. –Relevance Feedback is not limited to text and full text retrieval.

8. An Overview of Relevance Feedback, by Priyesh Sudra 8 How Can Relevance Feedback be Improved (User Modeling) User Modeling - the system seeks to adopt the behavior to individual needs. - the system has a clear understanding of the users needs.

9. An Overview of Relevance Feedback, by Priyesh Sudra 9 How Does Relevance Feedback Fit Into The Future The World Wide Web (WWW) Improving the techniques

10. An Overview of Relevance Feedback, by Priyesh Sudra 10 Conclusion Relevance Feedback is the way the future web-searches will be based. More user modeling will provide better Relevance Feedback processes to be carried out. Improving the techniques