Editing Content-based image retrieval (section)

===Relevance feedback (human interaction)===
Combining CBIR search techniques available with the wide range of potential users and their intent can be a difficult task.  An aspect of making CBIR successful relies entirely on the ability to understand the user intent.<ref name="Ddata">{{cite journal | last=Datta | first=Ritendra |author2=Dhiraj Joshi |author3=Jia Li|author3-link=Jia Li |author4=James Z. Wang  | title=Image Retrieval: Ideas, Influences, and Trends of the New Age | journal=ACM Computing Surveys | url=http://infolab.stanford.edu/~wangz/project/imsearch/review/JOUR/ | year=2008 | doi=10.1145/1348246.1348248 | volume=40 | issue=2 | pages=1–60| s2cid=7060187 }}</ref>  CBIR systems can make use of ''[[relevance feedback]]'', where the user progressively refines the search results by marking images in the results as "relevant", "not relevant", or "neutral" to the search query, then repeating the search with the new information.  Examples of this type of interface have been developed.<ref name="Bird"/>