Recommender systems: A systematic review of the state of the art literature and suggestions for future research
F Alyari, N Jafari Navimipour - Kybernetes, 2018 - emerald.com
Purpose This paper aims to identify, evaluate and integrate the findings of all relevant and
high-quality individual studies addressing one or more research questions about …
high-quality individual studies addressing one or more research questions about …
A survey on deep learning for patent analysis
Patent document collections are an immense source of knowledge for research and
innovation communities worldwide. The rapid growth of the number of patent documents …
innovation communities worldwide. The rapid growth of the number of patent documents …
Deriving design feature vectors for patent images using convolutional neural networks
The patent database is often used by designers to search for inspirational stimuli for
innovative design opportunities because of the large size, extensive variety, and the …
innovative design opportunities because of the large size, extensive variety, and the …
DeepPatent: Large scale patent drawing recognition and retrieval
We tackle the problem of analyzing and retrieving technical drawings. First, we introduce
DeepPatent, a new large-scale dataset for recognition and retrieval of design patent …
DeepPatent, a new large-scale dataset for recognition and retrieval of design patent …
Patent retrieval
Intellectual property and the patent system in particular have been extremely present in
research and discussion, even in the public media, in the last few years. Without going into …
research and discussion, even in the public media, in the last few years. Without going into …
Patent image retrieval using transformer-based deep metric learning
K Higuchi, K Yanai - World Patent Information, 2023 - Elsevier
Intellectual property work covers a wide range of areas. In particular, prior art literature
searching in the patent field requires finding documents that can be used to determine …
searching in the patent field requires finding documents that can be used to determine …
Content-based binary image retrieval using the adaptive hierarchical density histogram
This paper proposes a method for binary image retrieval, where the black-and-white image
is represented by a novel feature named the adaptive hierarchical density histogram, which …
is represented by a novel feature named the adaptive hierarchical density histogram, which …
Image search in patents: a review
To verify the originality of an invention in a patent, the graphical description available in the
form of patent drawings often plays a critical role. This paper introduces the importance …
form of patent drawings often plays a critical role. This paper introduces the importance …
Multiple functions of drawings
In the twentieth century, the functions of written or spoken language were extensively
studied. The functions of drawings were studied less. This was largely due to a kind of …
studied. The functions of drawings were studied less. This was largely due to a kind of …
Concept-based patent image retrieval
Recently, the intellectual property and information retrieval communities have shown
increasing interest in patent image retrieval, which could further enhance the current …
increasing interest in patent image retrieval, which could further enhance the current …