PATENT CLAIM ANALYSIS

Application Number: 16166922
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["715", "234000"]

Abstract:
Technologies for identifying and inspecting web page tags include a tag inspection system. The tag inspection system receives configuration information, which includes a seed uniform resource locator. The tag inspection system accesses a web page corresponding to the seed uniform resource locator. A tag of the web page is invoked by the tag inspection system. Tag execution data is received in response to invocation of the tag of the web page. The received tag execution data is analyzed by the tag inspection system. A report is generated based on the analysis of the received tag execution data. Other embodiments are described and claimed.

Claim (Index 11):
A tag inspection system for identification and inspection of web page tags, the tag inspection system comprising:\n a processor executing instructions stored in memory, wherein the instructions cause the processor to:\n invoke a tag of a web page; \n receive tag execution data in response to invocation of the tag of the web page; \n analyze the received tag execution data; \n identify a piggybacking tag invoked by the tag of the web page; \n invoke the identified piggybacking tag; \n receive additional tag execution data in response to invocation of the identified piggybacking tag; \n analyze the received additional tag execution data; and \n generate a visual map based on the analysis of the received tag execution data and the received additional tag execution data, the visual map comprises a visual indication of the tag, the piggybacking tag, and a relationship between the tag and the piggybacking tag.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.15385
- Patent Class: 715.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14828756', '15237981', '13922944', '12685268', '13450416']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2878607341817781
- 35 USC 102 Novelty (BERT): 0.5000259277403747
- Combined Prediction Score: 0.3090772535376377
- Mean Citation Score: 160.13954700000005
- Max Citation Score: 303.4483
- Similarity Product: 274.1743897797585

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