Ad Server Keyword Generation for Search Queries
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Solution Overview
Problem
Advertisers face inefficiencies when creating sponsored ad campaigns due to the need to manually enter and manage numerous keyword variations for search queries, which can be cumbersome and inaccurate, especially when differentiating between similar products.
Innovation Solution
An ad server uses language processing to automatically generate keywords, including synonyms and related terms, to match products with user queries, eliminating the need for advertisers to manually list keywords and improving campaign creation efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If advertisers manually enter keywords to capture search variations, then ad campaign coverage is improved, but time consumption and operational complexity increase
Solution Approach 1:
The system enables self-service by automatically generating keywords through AI processing of product information. The ad server extracts keywords, synonyms, and related terms from product titles, descriptions, and attributes without requiring advertiser intervention, thus maintaining comprehensive coverage while eliminating manual time investment
Solution Approach 2:
The system performs preliminary action by pre-generating comprehensive keyword sets during product catalog setup. Keywords are extracted and stored in advance based on product information, so when ad campaigns are created, the keyword generation step is already completed, saving significant time during campaign deployment
2Measurement precision
If advertisers manually map keywords to products, then keyword accuracy is improved, but operational complexity and difficulty increase
Solution Approach 1:
The patent replaces the mechanical manual mapping process with an automated AI-based keyword extraction system. The ad server uses natural language processing and machine learning to automatically map keywords to products based on product information, eliminating the need for manual intervention while maintaining or improving mapping accuracy
Solution Approach 2:
The system introduces an intermediary keyword extraction module that sits between product information and ad campaigns. This module automatically processes product data to generate and map keywords, serving as a mediator that simplifies the overall system operation while ensuring accurate keyword-product associations through automated analysis
3Quantity of substance
If advertisers manually create comprehensive keyword lists, then keyword completeness is improved, but effort and time requirements increase
Solution Approach 1:
The system performs self-service by automatically generating comprehensive keyword lists through AI processing of product information. The ad server extracts keywords, synonyms, and related terms without advertiser effort, delivering complete keyword coverage while eliminating the manual work previously required
Solution Approach 2:
The keyword extraction system serves multiple functions simultaneously: it generates keywords for ad campaigns, creates product search optimization data, and builds recommendation systems. This multi-functionality achieves comprehensive keyword coverage through a single automated process rather than separate manual efforts for each purpose
Data Source
AI summary
The technology generally relates to automatically associating products and services to be advertised in response to a search query and providing sponsored advertisements for output with the search query results on a publisher's website or mobile application. An ad advertiser may create an ad campaign for products without including or identifying keywords associated with the product. Upon receiving a request for an advertisement, an ad server may generate synonyms, or keywords, for the terms in the request. The ad server generated keywords may be used to identify available products that match, or are relevant to, the search query. The ad server may determine a quality of the match and, based on the quality, determine which products are most relevant to the search query. The ad server may solicit bids from the advertisers of the relevant ad campaigns. The winning ads may be returned to the publisher for output.