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The search for patentability is a critical element in the patent process, and failure to find a certain relevant patent may result in costly legal consequences. This paper aims to review the studies that have been conducted in result to improve the significance efficacy of patent information retrieval, which is focused on creating techniques and methods for retrieving patent documents in response to a specific user query. The prior-art search is a crucial step in the patent retrieval process, the choice of pertinent search terms is essential to the task’s success. In this review, we develop prior-art queries derived from query patents using query expansion to pseudo relevance feedback in result of increase the retrievability of patents. The review of this literature lists numerous studies that have been done to enhance current information retrieval methods or use conventional methods at different phases of the patent retrieval task in order to achieve better results in the task. This research focuses solely on the literature on patent text and image retrieval. Given the different methods and frameworks available, as well as their limitations, there is a lot of room for further research in the field of patent retrieval techniques.


Patent Retrieval, Patent Images, Queries, Prior Art Search, IPC, Boolean Search
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