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INS 509: Introduction to Information Retrieval Jaime Arguello email.UNC. August 24, 2016Thursday, August 25, 16Outline Introductions What is information retrieval (IR)? What is a search engine? Why
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How to fill out search log analysis

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Start by collecting the search logs from your search engine or website.
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Analyze the logs to identify the different types of searches performed by users.
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Categorize the searches based on user intent, such as informational queries, navigational queries, or transactional queries.
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Analyze the click-through rates (CTRs) of the search results to understand user satisfaction with the search results.
05
Identify any patterns or trends in the search queries, such as recurring queries or seasonal variations.
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Use data visualization techniques to present the analysis findings in a clear and understandable manner.
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Interpret the analysis results to derive actionable insights, such as improving search relevance, optimizing website navigation, or identifying gaps in content.
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Use the insights to make data-driven decisions and improve the overall search experience for users.

Who needs search log analysis?

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Search log analysis is useful for various stakeholders, including:
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- Website owners and administrators who want to understand user search behavior and improve search functionality on their website.
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- E-commerce businesses that want to optimize their product listings and improve the product search experience for customers.
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- UX designers and information architects who want to enhance the usability and findability of a website or application.
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- Digital marketers who want to identify keyword trends, optimize search engine marketing campaigns, and improve organic search rankings.
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- Search engine developers who want to evaluate and improve the relevance and effectiveness of their search algorithms.
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- Customer support teams who want to identify common user queries and improve self-service options through chatbots or knowledge bases.
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Search log analysis refers to the process of reviewing and interpreting the data recorded about user searches on a particular platform or database. It helps in understanding user behavior, trends, and the effectiveness of search functionalities.
Individuals or organizations that operate search engines or databases that collect user search queries are typically required to file search log analysis.
To fill out search log analysis, one needs to enter relevant data such as user IDs, search queries, timestamps, and any additional metadata that may aid in understanding the search patterns.
The purpose of search log analysis is to improve search functionality, enhance user experience, uncover trends, and provide insights for better content organization and overall optimization of search systems.
The information that must be reported includes user search queries, timestamps of searches, user profiles (if applicable), and any relevant metadata that helps in understanding search behavior.
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