PATENT CLAIM ANALYSIS

Application Number: 16102470
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["705", "014000"]

Abstract:
Embodiments of a system method and computer program product for selecting an advertisement and presenting it to a user are described. Products and services offered by various merchants are read using a merchant specific catalog and stored in a common format. Categories for such products and services are normalized and virtual categories are created using various product attributes. Visual creatives, termed as ad-templates are created to control the visual and interactive aspects of the ad, including ad-size, color, as well as product attributes that are displayed in the ad. Ad-templates may be constrained to specific products or product categories. A learning algorithm uses an adaptive sampling process to sample various products, product categories and ad-templates independently for different learning units such as individual users, groups of users determined by some demographics, individual web pages and groups of web pages grouped using various similarity criteria. The performance of the ad is measured using various learning statistics, such as the click-through-rate, conversion rate, etc. The learning algorithm uses the learning statistics to optimize the return for the advertiser by favoring the products or categories that perform better on one or more specified criteria.

Claim (Index 29):
The method of  claim 28 , further comprising retrieving, by the computer device from a catalog database, a plurality of data fields associated with the selected template and the selected plurality of products and services, the catalog database including data fields transformed from a first schema specific to a content provider to a second schema defining attributes for real time generation of content items.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 1.95327
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12146473', '11803779', '13326140', '11716301', '12456899']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1092324576031612
- 35 USC 102 Novelty (BERT): 0.5030852873542717
- Combined Prediction Score: 0.1486177405782722
- Mean Citation Score: 214.20175
- Max Citation Score: 224.51889
- Similarity Product: 142.83374126085158

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