Rocchio relevance feedback

Creator
Creator
Seonglae Cho
Created
Created
2025 Mar 10 15:18
Editor
Edited
Edited
2025 Mar 10 15:27
Refs
Optimum query Seeks to find a query that maximizes similarity to elevant documents while minimizing similarity with non-relevant documents
Let CrC_r denote set of relevant docs, Let CnrC_{nr} denote set of non-relevant docs.
qopt=arg maxp[sim(q,Cr)sim(q,Crn)]q_{opt} = \argmax_p [sim(q, C_r) - sim(q, C_{rn})]qopt=dCrdiCrdCrndiCrnq_{opt} = \frac{\sum_{d\in C_r} d_i}{|C_r|} - \frac{\sum_{d\in C_{rn}} d_i}{|C_{rn}|}
Rocchio relevance feedback is the first relevance feedback algorithm which is the part of the SMART IR system
qm=αq0+βDrdjDrdjγDnrdjDnrdj \vec{q_m} = \alpha\, \vec{q_0} + \frac{\beta}{|D_r|} \sum_{\vec{d_j} \in D_r} \vec{d_j} - \frac{\gamma}{|D_{nr}|} \sum_{\vec{d_j} \in D_{nr}} \vec{d_j} 
 
 
 
 
 
 

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