An Overview of Relevance Feedback
PRIYESH SUDRA
An Overview of Relevance
Feedback, by Priyesh Sudra
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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
An Overview of Relevance
Feedback, by Priyesh Sudra
2
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.
An Overview of Relevance
Feedback, by Priyesh Sudra
3
An Insight Into Relevance Feedback
Iteration Relevance Feedback Process
An Overview of Relevance
Feedback, by Priyesh Sudra
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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.
An Overview of Relevance
Feedback, by Priyesh Sudra
5
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.
An Overview of Relevance
Feedback, by Priyesh Sudra
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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.
An Overview of Relevance
Feedback, by Priyesh Sudra
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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.
An Overview of Relevance
Feedback, by Priyesh Sudra
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How Does Relevance Feedback Fit
Into The Future

The World Wide Web (WWW)

Improving the techniques
An Overview of Relevance
Feedback, by Priyesh Sudra
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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

An Overview of Relevance
Feedback, by Priyesh Sudra
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