Abstract
Patent retrieval is critical for technological researches, inventions, and innovative entrepreneurship. There exist a lot of methods for patent retrieval, which usually merely find relevant patents. As a result, outdated patents are frequently found and even ranked ahead of more interesting ones in the result list. However, in most cases, enterprisers and researchers only concern cutting-edge techniques and research results. Novelty-based patent retrieval thus becomes extremely important nowadays. In this paper, we propose an innovative patent finding method that exploits the broad associations between patents. More specifically in this paper, a new concept of patent novelty is first introduced and a novel ranking algorithm is then proposed for proper ranking of patents. Following that, in order to handle rank variations caused by the arrival of new patents, an efficient rank-update algorithm is designed. We have done extensive experimental study that well shows the effectiveness and the efficiency of our proposed method.
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Feng, L., Peng, Z., Liu, B., Che, D. (2014). Finding Novel Patents Based on Patent Association. In: Li, F., Li, G., Hwang, Sw., Yao, B., Zhang, Z. (eds) Web-Age Information Management. WAIM 2014. Lecture Notes in Computer Science, vol 8485. Springer, Cham. https://doi.org/10.1007/978-3-319-08010-9_2
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DOI: https://doi.org/10.1007/978-3-319-08010-9_2
Publisher Name: Springer, Cham
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