Retail — E-commerce Synonym and Dictionary Update Pipeline

Free

This DAG updates synonyms and dictionaries based on user feedback and search queries, enhancing search relevance. It ensures quality through validation steps, ultimately improving user satisfaction metrics.

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Overview

The primary purpose of this DAG is to enhance the relevance of search results in the retail e-commerce sector by updating synonyms and dictionaries based on user feedback and search queries. The data sources include user feedback logs, search query logs, and existing synonym dictionaries. The ingestion pipeline begins with the collection of these data inputs, which are processed to extract relevant terms and synonyms. The processing steps involve validating the extracted data against predefined

The primary purpose of this DAG is to enhance the relevance of search results in the retail e-commerce sector by updating synonyms and dictionaries based on user feedback and search queries. The data sources include user feedback logs, search query logs, and existing synonym dictionaries. The ingestion pipeline begins with the collection of these data inputs, which are processed to extract relevant terms and synonyms. The processing steps involve validating the extracted data against predefined quality standards, updating the synonym dictionaries, and integrating the new terms into the search engine. Quality control measures are implemented to ensure that all changes meet the necessary accuracy and relevance criteria. The outputs of this DAG include updated synonym dictionaries, enhanced search algorithms, and user satisfaction reports. Monitoring key performance indicators (KPIs) such as user satisfaction scores and search result accuracy is crucial for assessing the effectiveness of the updates. The business value of this DAG lies in its ability to significantly improve search relevance, leading to increased user engagement and higher conversion rates in the retail e-commerce space.

Part of the Literature Review solution for the Retail industry.

Use cases

  • Increases search relevance, improving user experience
  • Boosts conversion rates through better search results
  • Reduces manual effort in synonym management
  • Enhances customer satisfaction and loyalty
  • Facilitates data-driven decision-making in marketing strategies

Technical Specifications

Inputs

  • User feedback logs
  • Search query logs
  • Existing synonym dictionaries

Outputs

  • Updated synonym dictionaries
  • Enhanced search algorithms
  • User satisfaction reports

Processing Steps

  1. 1. Ingest user feedback logs
  2. 2. Collect search query logs
  3. 3. Extract relevant terms from inputs
  4. 4. Validate terms against quality standards
  5. 5. Update synonym dictionaries
  6. 6. Integrate updates into search engine
  7. 7. Generate user satisfaction reports

Additional Information

DAG ID

WK-0346

Last Updated

2025-01-04

Downloads

102

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