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Search Relevancy Improvement Service

Continuous Search Relevancy Tuning is Key to Better User Experience.

HEADLINES

The search relevancy tune-up service is aimed at existing search implementations in need of improvement. Common circumstances include:

  • Dissatisfaction with search relevancy
  • Query speed or throughput issues
  • Difficulties getting value from advanced search features
  • Suspicions that the indexes are not complete

DETAILS

This service typically comprises:

  • Onsite investigation: A search expert will conduct an independent, onsite audit of the current status and configuration of the search application, including a review of the data landscape and end user requirements
  • Architect review: The information gathered will be reviewed with a senior search architect, and a customer call will be conducted to present and discuss initial findings
  • Detailed report: A detailed Assessment Report will be provided, complete with issue analysis, recommendations and a suggested action plan
  • Implementation strategy: We will present a project plan addressing the issues and business objectives identified. This plan can be executed by the customer's in-house team or by Search Technologies
  • Search engine scoring: A process of continuously enriching, testing, and scoring your search application's performance to ensure long-term relevancy and agility. Check out our deep-dive on search engine scoring.

The majority of existing search implementations can be substantially improved through this search relevancy tuning service.

EXPERTISE

Our 200+ search and analytics consultants are experienced working with a wide range of open source and commercial search engines. We have helped to improve search relevancy for customers using:

  • Elasticsearch
  • Solr
  • Google Search Appliance (GSA)
  • Microsoft SharePoint Search / FAST ESP
  • Endeca
  • Amazon CloudSearch
  • and many other search engines

PRICING

Contact us for details, and a discussion of our relevance benchmarking and tuning services.
 

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