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IFN647- Assignement II
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Introduction
This unit discusses several ways to extend query-based methods, such as pseudo-relevant
feedback, query expansion or hybrid methods.
We Discover a good information filtering model that recommends relevant documents to users on all 50 topics
Pseudo-relevant model is well-researched query extension technique.
Library: math
Advantages
simple processing
achieved good results
Disadvantages
No user judgment, so the accuracy is difficult to ensure
Not all queries improve performance
Pseudo-revelancefeedback is a well-researched query extension technique, It assumes that the highest-ranked documents in the initial retrieval result set are relevant, and then extracts extensions from those documents.
Most traditional models do not consider both word frequency and co-occurrence relationship between candidate words and query words when selecting extension words. Words that appear at the same time as a query term are more likely to be related to the query topic.
Without user involvement, the system simply assumes that the first K chapters of the returned document are relevant, and then feeds back.
(1) Advantages
Do not consider the user factor, simple processing
Many experiments have also achieved good results
(2) Disadvantages
No user judgment, so the accuracy is difficult to ensure
Not all queries improve performance
Information retrieval
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