PATENT CLAIM ANALYSIS

Application Number: 15980706
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-10
Patent Classification: ["705", "014100"]

Abstract:
The present disclosure relates to systems and methods for operating an online on-demand service platform. The systems may perform the methods to: determine one or more recommendation rules for one or more activities for recommending to one or more candidate users; determine, for each of the one or more activities, one or more preset objects for the activity to achieve on the one or more candidate users; determine, for each of the one or more activities, a completion probability that each of the one or more candidate users will complete the one or more preset objects of the activity; and determine, for each of the one or more activities, at least one target user from the one or more candidate users to send a notice of the activity based on the one or more completion probabilities and the one or more recommendation rules.

Claim (Index 7):
The system of  claim 1 , wherein to determine the at least one target user from the one or more candidate users for the activity based on the one or more probabilities and the one or more recommendation rules, the one or more processors are directed to:\n determine a plurality of continuous recommendation parameters each of which indicates a probability of recommending the activity to one of the one or more candidate users; determine whether all of the one or more recommendation rules are satisfied based on the plurality of continuous recommendation parameters; determine, based on the plurality of continuous recommendation parameters, a sum associated with the one or more completion probabilities that the one or more candidate users will complete the one or more preset objects of the activity in response to a determination that all of the one or more recommendation rules are satisfied based on the plurality of discrete recommendation parameters; determine whether the sum is the largest among other continuous recommendation parameters; determine, based on the plurality of continuous recommendation parameters, a plurality of discrete recommendation parameters each of which indicates whether to recommend the activity to one of the one or more candidate users; and determine the at least one target user for the activity based on the plurality of discrete recommendation parameters.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 93.0
- Lexical Diversity: 2.87037
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13402751', '14663371', '14486111', '13403129', '14072469']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.118891323597981
- 35 USC 102 Novelty (BERT): 0.4873566612880748
- Combined Prediction Score: 0.1557378573669904
- Mean Citation Score: 172.127488
- Max Citation Score: 196.85983
- Similarity Product: 136.65446944088458

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

Dataset: test