Indirect Click Keyword Recommendation System
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Solution Overview
Problem
In keyword advertising, advertisers face challenges in selecting the most effective keywords for their advertisements, as existing systems do not adequately differentiate between direct and indirect click keywords, which affects advertising performance and earnings.
Innovation Solution
A system and method that utilize a verifying unit to determine direct and indirect click keywords by analyzing click logs and URL selections, computing selection probabilities, and recommending indirect click keywords based on similarity probabilities to enhance advertising performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertisers purchase keywords based on traditional direct-click analysis only, then the keyword selection process is simple, but advertising performance is suboptimal due to missing indirect click opportunities
Solution Approach 1:
The patent segments keywords into two distinct categories: direct click keywords (keywords that directly lead to ad clicks) and indirect click keywords (keywords that lead to user visits to the advertiser's website through other channels). This segmentation allows advertisers to separately analyze and optimize each type, capturing both direct and indirect conversion opportunities while maintaining a structured approach to keyword management
Solution Approach 2:
The patent introduces click logs as an intermediary data source that bridges the gap between direct and indirect keyword performance analysis. By analyzing click logs to identify patterns of user behavior and website visits, the system can infer indirect click keywords without requiring direct attribution, thus enabling comprehensive keyword optimization while maintaining analytical simplicity
2Reliability
If the system analyzes only direct click keywords, then the analysis process is straightforward, but advertising earnings are limited due to unexplored indirect keyword opportunities
Solution Approach 1:
The patent implements a feedback mechanism where click log data is continuously analyzed to identify indirect click keywords, which are then added to the advertiser's keyword portfolio. This creates a closed-loop system where performance data from website visits feeds back into keyword selection, continuously improving advertising earnings while automating the measurement of indirect keyword effectiveness
Solution Approach 2:
The patent performs preliminary analysis of click logs to pre-identify potential indirect click keywords before the advertising campaign fully launches. By proactively discovering keywords that have led to website visits in historical data, the system prepares an expanded keyword list in advance, ensuring advertisers can capitalize on indirect opportunities from the start rather than discovering them reactively
Data Source
AI summary
A system to recommend a keyword includes a verifying unit to determine whether a keyword is a direct click keyword by referring to a click log and to determine whether the keyword is an indirect click keyword by referring to a third universal resource locator (URL) selected using the direct click keyword, wherein the direct click keyword is a keyword used to select a first URL on a computing device and the indirect click keyword is a keyword used to select a second URL on the computing device; and a keyword recommending unit to recommend the determined indirect click keyword. A method for recommending a keyword includes determining whether a keyword is a direct click keyword by referring to a click log; determining whether the keyword is an indirect click keyword by referring to a third URL selected using the direct click keyword; and recommending the determined indirect click keyword.