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261results about How to "Increase contribution" patented technology

Text multi-label classification method based on semantic unit information

The invention discloses a text multi-label classification method based on semantic unit information, which comprises the following steps: establishing a semantic unit multi-label classification modelSU4MLC, taking a recurrent neural network sequence based on an attention mechanism to a sequence model as a baseline model for improvement, and improving the expression of the attention mechanism by improving a source end; Extracting semantic unit related information from the context representation of the source end of the baseline model by using hole convolution in deep learning to obtain semantic unit information; Combining the semantic unit information with the word level information by using a multi-layer mixed attention mechanism, and providing the combined information for a decoder; Anddecoding the tag sequence by using a decoder, thereby realizing text multi-tag classification based on semantic unit information. According to the method, the problems that an existing attention mechanism is easily influenced by noise and contributes to classification insufficiently can be solved, the contribution of the attention mechanism to text classification can be improved, and the text multi-label classification problem can be more efficiently solved.
Owner:PEKING UNIV

Recommendation method based on standard labels and item grades

The invention discloses a recommendation method based on standard labels and item grades. The recommendation method is characterized in that the labels are standardized, namely, user-defined labels are mapped to the standard labels clear and definite in semantics, then the standard labels are used for establishing user interest models, according to the user interest models, the similarity among users is calculated, neighboring user groups are established, and then the grades of the items to be graded by the users are predicted based on item grades of the target user and the neighboring users of the target user and an improved Slope one algorithm, so that personalized recommendation is achieved. Availability of the labels which are widely used on the Web2.0 internet and can be subjected to free defining can be obviously improved, the similarity among the users is calculated by the utilization of the user interest models based on the standard labels, the similar user groups are established for the target user, the search range of the related item grades of the target user can be shrunk, the calculation amount of the algorithm can be reduced, item grade prediction through the Slope one algorithm is improved, contributions to grade prediction are improved for the users similar in hobbies and interests, and therefore personalized recommendation quality of the internet is improved.
Owner:乐格云南京软件科技有限公司

Method for analyzing and predicting noise outside car

The invention discloses a method for analyzing and predicting noise outside a car, which aims at overcoming the problem that the noise outside the car is difficult to be predicted in the developing and designing stage of the car product. The method comprises the steps of: 1) establishing an SEA model of the car body structure: dividing the car body into a plurality of structural sub-systems, and connecting all structural sub-systems according to the correlations; 2) establishing an SEA model for an external acoustic cavity of the car: establishing SEA models for the external acoustic cavitiesof the car at two sides and on the external surface of the car body in the SEA model of the car body; 3) determining the SEA parameter of the car body and the external acoustic cavity sub-system of the car: determining the mode density of each sub-system, determining the internal loss factor of each sub-system, and determining the coupling loss factor of all sub-systems; 4) determining the external excitation energy of the car body: determining the acoustic excitation energy of an engine cabin, determining the excitation energy of suspended engine, determining the excitation energy of unevenness of the road surface on the car body, and determining the excitation energy of the wind pressure on the external surface of the car body; and 5) analyzing and predicting the noise outside the car.
Owner:JILIN UNIV
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