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 9):
A device, wherein the device comprises:\n one or more processor; a memory for storing one or more programs, said one or more programs, when executed by said one or more processors, enable said one or more processors to implement the following operation: 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 an itinerary-planning model; the itinerary-planning model is configured to use a travel demand to obtain a corresponding 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): 0.4540478777082021
- 35 USC 102 Novelty (BERT): 0.4694994286669839
- Combined Prediction Score: 0.4555930328040803
- Mean Citation Score: 174.154622
- Max Citation Score: 178.10509
- Similarity Product: 135.69564732183574

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

Dataset: test