PATENT CLAIM ANALYSIS

Application Number: 16025345
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-10
Patent Classification: ["707", "692000"]

Abstract:
Event logs in a video advertisement insertion network are processed to remove duplicate entries. One or more ad servers are continuously generating new event entries and writing them to a database. The entries are randomized such that generated time contiguous entries are distributed over multiple storage locations, thereby facilitating resource scaling and a uniform use of storage and computing resources. The distributed entries are read from the storage locations using sequential reads of chunks of the entries and processed to remove duplicate entries.

Claim (Index 19):
A communication system, comprising:\n one or more ad servers that generate event records pertaining to video advertisements served in a communication network and communicate the event records over a transport network; and a de-duplication mechanism that receives the event records from the transport network and removes duplicate entries from the event records by comparing at least some of the event records with previously received event records within a time window, wherein the de-duplication mechanism includes:\n a randomizer module that randomizes the event records to generate randomized event records; \n a distribution module that distributes the randomized event records to multiple computer platforms; \n a chunking module that reads a subset of the event records on at least one of the computer platforms; and \n a comparator module that identifies duplicate entries by comparing an identifier of each entry with one or more previously seen identifiers.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 95.0
- Lexical Diversity: 1.54386
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14720448', '14802762', '14524658', '14524625', '11850855']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1676947826013654
- 35 USC 102 Novelty (BERT): 0.555124279422449
- Combined Prediction Score: 0.2064377322834737
- Mean Citation Score: 218.945232
- Max Citation Score: 441.5283
- Similarity Product: 305.8069270804167

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

Dataset: test