PATENT CLAIM ANALYSIS

Application Number: 16129573
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["704", "009000"]

Abstract:
A method including acquiring a product title and extracting at least one descriptor from the product title; acquiring weight values of users for the at least one descriptor respectively, the weight values being obtained by calculation according to historical behavior data of the users; selecting a reconstruction descriptor from the at least one descriptor according to the weight values; and generating a reconstructed title of the product title by using the reconstruction descriptor. By using the example embodiments of the present disclosure, personalized reconstructed titles are customized for different users, thus improving the efficiency of finding preferred products by the users through searching.

Claim (Index 19):
The apparatus of  claim 14 , wherein the removing the semantically repeated descriptors from the at least one descriptor includes:\n determining that there are multiple descriptors; calculating term vectors of the multiple descriptors respectively; calculating a similarity between respective two descriptors according to respective term vectors of the respective two descriptors; determining that the similarity is greater than a preset threshold; and removing a descriptor having a smaller weight value from the respective two descriptors.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 1.98214
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15241118', '09965031', '13193965', '14176399', '15785085']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2723454517746562
- 35 USC 102 Novelty (BERT): 0.4873375476046911
- Combined Prediction Score: 0.2938446613576597
- Mean Citation Score: 146.91643000000005
- Max Citation Score: 152.24512
- Similarity Product: 95.78914210205076

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test