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This paper is a proposal based on an on-going work in which we attempt to take advantage of information retrieval (IR) and case-based reasoning (CBR) techniques combined with the aim to improve the document relevancy of a search result. The proposed architecture contains two main phases: first is the IR phase whereby relevance feedback (RF) is implemented on search results produced based on adjacency keyword algorithm. Second is the CBR phase which further improves the results based on the output from phase one. This paper presents an explanation on the proposed RF-CBR model. It is believed that the integration of these two popular techniques would result in an improved document relevancy.

An Architecture to Enhance Post Retrieval Document Relevancy Using Integrated Techniques