Conjoint Analysis Integration for Search Result Relevance
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Solution Overview
Problem
Current technologies lack a method to effectively combine conjoint analysis with customer relationship management, auction, and search engine software, limiting user interaction and decision-making efficiency in complex choice scenarios.
Innovation Solution
Implementing a software tool that applies the conjoint model decision process to simplify complex choices by developing user profiles and providing a 'quality of fit' measure for products or services, integrating conjoint analysis with CRM, auction, and search engine software to facilitate user interaction and decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conjoint analysis is used to assess consumer preferences among complex products or services, then decision-making accuracy is improved, but system complexity and difficulty of operation increase
Solution Approach 1:
The patent introduces an automated software intermediary that mediates between the complex conjoint analysis methodology and the end user. The software automatically performs attribute identification, utility calculation, and preference assessment, transforming the complex statistical process into simple user interactions where users only need to indicate their preferences among presented alternatives.
Solution Approach 2:
The system enables self-service by allowing users to independently conduct conjoint analysis without requiring expertise in the underlying methodology. The software automatically guides users through the process, performs calculations, and generates results, making the complex tool accessible to ordinary users who simply need to make decisions about complex products or services.
2Measurement precision
If conjoint analysis gathers data from individuals by asking them to consider multiple variables simultaneously, then preference measurement accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The patent segments the complex task of considering multiple variables simultaneously into a sequence of simpler decisions. The software breaks down the conjoint analysis process into discrete steps where users evaluate alternatives one at a time or in small groups, rather than requiring them to mentally process all attributes and alternatives at once. This segmentation maintains measurement accuracy while dramatically improving ease of operation.
Solution Approach 2:
The system performs preliminary actions by automatically preparing and presenting alternatives with their attribute settings before user evaluation. The software pre-processes the data, organizes alternatives for comparison, and structures the presentation to guide users through the evaluation process, reducing the cognitive burden on users while maintaining rigorous preference measurement.
3Quantity of substance
If conventional search engines present hundreds or thousands of search results, then information coverage is improved, but ease of operation deteriorates due to difficulty in locating desired information
Solution Approach 1:
The patent applies parameter changes by using conjoint analysis results to dynamically re-rank and re-order search results based on individual user preferences. Instead of presenting results in a fixed order or simply by relevance, the system transforms the result set according to the user's measured preferences for different attributes, automatically adjusting the presentation parameters to match user needs while maintaining comprehensive coverage of available information.
Data Source
AI summary
Methods, systems, and computer program products for combining conjoint analysis with customer relationship management software, search engine software, and auction software are disclosed. According to one method, conjoint analysis is used to facilitate user interaction with a search engine. According to the method, search keywords are received as a user and treated as attributes by a conjoint analysis application. The conjoint analysis application presents the user with paired trade-off questions regarding the search keywords. Conjoint analysis is performed based on user responses to the questions. Based on the user's responses to the questions, relative importance weightings are computed for keywords. The keywords and the relative importance weightings are input to a search engine. The search is performed using the keywords. Results to be output to the user are selected based on occurrences of the keywords in the search results and the relative importance weightings.


