PATENT CLAIM ANALYSIS

Application Number: 16008639
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["701", "533000"]

Abstract:
The present disclosure provides a method and apparatus for building an itinerary-planning model and planning a traveling itinerary, wherein the method for building the itinerary-planning model comprises: obtaining a travel route with a known travel demand; training a deep learning model by regarding the travel demand, a set of candidate scenic spots determined by using the travel demand and the travel route corresponding to the travel demand as training samples, to obtain the itinerary-planning model; the itinerary-planning model is configured to use the travel demand to obtain a corresponding travel route. The method of planning a travelling itinerary comprises: obtaining the user's travel demand; according to the user's travel demand, obtaining a set of candidate scenic spots corresponding to the travel demand; inputting the user's travel demand and the set of candidate scenic spots into an itinerary-planning model, to obtain a travel route obtained by the itinerary-planning model.

Claim (Index 15):
The device according to  claim 14 , wherein the operation further comprises:\n a training target of the regression model is to minimize a regression price of the regression model; the regression price is a root mean square error between a score obtained by the regression model and corresponding to the travel route and a known estimation score of the travel route.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 2.92857
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12126026', '13928758', '15047100', '12784154', '14140640']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.450669819056493
- 35 USC 102 Novelty (BERT): 0.4826159085663495
- Combined Prediction Score: 0.4538644280074786
- Mean Citation Score: 174.154622
- Max Citation Score: 178.10509
- Similarity Product: 120.1437709642458

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

Dataset: test