Optimize Your AI Search Experience with Tuning

Table of Contents

1. Introduction
2. AI Academy and Additional Resources
3. Personalizing Your AI Search Experience
4. Understanding Relevancy and Search Ranking
5. Old Models vs. New Models of Ranking
6. AI Search Out-of-the-Box Model
7. Accessing User Experience Analytics
8. The Importance of Tuning
9. Areas of Improvement
10. Tuning for Relevance
11. Using Synonyms to Enhance Search Results
12. Stop Words and their Role in Search
13. Typo Handling for Improved Search
14. Result Improvement Rules for Boosting Content
15. Blocking Content with Result Improvement Rules
16. Conclusion
17. FAQ

Personalizing Your AI Search Experience

Searching for information online can sometimes be a daunting task, as it often requires sifting through numerous search results to find the most Relevant information. However, advancements in AI search technology have made it possible to personalize the search experience, allowing users to find the information they need more efficiently.

Introduction

In today's digital age, search engines play a crucial role in our day-to-day activities. Whether we are looking for a new recipe, researching a topic for a school project, or finding the best deals on products, search engines have become an integral part of our lives. However, not all search engines are created equal, and finding the most relevant results can sometimes be a challenge.

This is where AI search comes in. AI search uses artificial intelligence algorithms to understand the context of a search query and provide more accurate and targeted search results. By personalizing the search experience, AI search can help users find the information they need faster and more efficiently.

AI Academy and Additional Resources

Before diving into the world of AI search, it's essential to familiarize yourself with the available resources. The AI Academy offers valuable content from experts in the field, providing insights and knowledge that can enhance your understanding of AI search. Additionally, the AI and Intelligence Forum on the ServiceNow community is a great place to connect with like-minded individuals and Seek answers to any questions you may have.

Understanding Relevancy and Search Ranking

To personalize the search experience effectively, it's essential to have an understanding of relevancy and search ranking. Relevancy refers to the measure of how accurately a Search Engine can match a search query with the most relevant results. Search ranking, on the other HAND, determines the order in which search results are displayed.

In older search models, the ranking was based on a static model, where the relevancy score was calculated using a non-formulaic approach. For example, in the old ServiceNow search engine, relevancy was calculated based on the frequency of search terms, their sequence, and the weight assigned to different fields.

However, newer models of search ranking are more dynamic and adaptive, learning from user behavior over time. This allows for a more personalized and relevant search experience, as the search engine can understand user preferences and adapt accordingly.

Using Synonyms to Enhance Search Results

One way to personalize the search experience is by using synonyms. Synonyms are words or phrases that have similar meanings to the search terms used by users. By creating a synonym dictionary and mapping these synonyms to relevant search terms, you can ensure that the search engine recognizes and includes them in the search results.

For example, if a user types "dev laptop," the search engine might auto-correct it to "depth laptop" and provide irrelevant results. However, by creating a synonym relationship between "dev" and "developer," you can ensure that the search engine recognizes that these terms are related and display more accurate search results.

Stop Words and their Role in Search

Stop words are words that are commonly used in a language but have no significant meaning in the context of a search query. These words are often ignored by search engines to improve search relevancy. Examples of stop words include "your," "how," "so," and "if."

By properly configuring stop words, you can eliminate irrelevant search results and improve the overall search experience. ServiceNow's search engine comes with a default stop word dictionary, but you can add or remove stop words based on your specific requirements.

Typo Handling for Improved Search

Another aspect of personalizing the AI search experience is typo handling. Typos are common errors that occur when users inadvertently mistype a WORD in their search query. To ensure that these typos do not affect search relevancy, the search engine can perform auto Spell checks and provide the most accurate results.

ServiceNow's ai Search Engine has built-in typo handling capabilities, where it suggests corrections based on indexed content from various sources. By properly configuring typo handling settings and ensuring that all relevant sources are indexed, you can improve the accuracy and relevancy of search results.

Result Improvement Rules for Boosting Content

Result improvement rules are powerful tools for boosting or promoting specific content based on user queries or context. These rules allow you to customize search results by promoting relevant content or blocking irrelevant content.

For example, if you have a knowledge article related to a new company policy for salespeople, you can create a result improvement rule that promotes this article when a user searches for related terms. By understanding the user's department or context, you can ensure that the most relevant content is displayed prominently in the search results.

Blocking Content with Result Improvement Rules

In addition to promoting content, result improvement rules can also be used to block specific content from appearing in search results. This can be useful when certain articles or information are not relevant or should not be visible to certain user groups.

For example, if a user searches for "transfer," it may be irrelevant for them to see articles related to poor performance. By creating a result improvement rule that blocks such articles when the search query contains the term "transfer," you can enhance the search experience and ensure that users only see the most relevant information.

Conclusion

Personalizing the AI search experience is crucial in today's fast-paced digital world. By using techniques such as synonyms, stop words, typo handling, and result improvement rules, you can enhance the search experience and ensure that users find the information they need quickly and efficiently. Remember to regularly analyze user experience analytics and make tuning changes based on real production data for continuous improvement.

FAQ

Q: How can I access the AI Academy and additional resources? A: The AI Academy provides valuable content from experts in the field of AI search. To access the AI Academy, visit the ServiceNow community and join the AI and Intelligence Forum. There, you can find a wealth of content and interact with other professionals in the field.

Q: What are stop words, and why are they important in AI search? A: Stop words are commonly used words in a language that have no significant meaning in the context of a search query. Examples of stop words include "your," "how," and "so." By properly configuring stop words, you can eliminate irrelevant search results and improve search relevancy.

Q: How can result improvement rules be used to personalize search results? A: Result improvement rules allow you to promote or block specific content based on user queries or context. By creating rules that boost relevant content or block irrelevant content, you can enhance the search experience and ensure that users see the most relevant information.

Q: How can AI search algorithms learn from user behavior? A: AI search algorithms can learn from user behavior by analyzing user interactions and search patterns. This data is used to improve search relevancy and provide a more personalized search experience over time.

Q: How can I ensure that AI search results are accurate and relevant? A: To ensure accurate and relevant search results, regularly analyze user experience analytics. This data provides insights into user behavior and allows you to make tuning changes based on real production data. Additionally, regularly review and update settings such as synonyms, stop words, typo handling, and result improvement rules to optimize search results.

Q: Can AI search handle typos in search queries? A: Yes, AI search engines can handle typos in search queries through auto spell check capabilities. By suggesting corrections based on indexed content, the search engine can provide more accurate search results, even when users make typographical errors.

Q: How can I measure the effectiveness of AI search tuning? A: The best way to measure the effectiveness of AI search tuning is through user experience analytics. These analytics provide data on average click position, self-resolve rate, and user queries, allowing you to identify areas for improvement and make necessary tuning changes.

Q: Is the ServiceNow AI search engine adaptive to user behavior? A: Yes, the ServiceNow AI search engine is designed to be adaptive to user behavior. It uses newer models of search ranking that learn from user interactions and behavior over time. This allows for a more personalized and accurate search experience for users.

Q: How can tuning improve the search experience for end users? A: Tuning can improve the search experience for end users by ensuring that they receive more relevant search results. By analyzing user behavior and making tuning changes based on real production data, you can enhance the search experience and help users find the information they need quickly.

Q: Can I personalize the search experience based on user context? A: Yes, you can personalize the search experience based on user context. By using result improvement rules that consider user attributes such as department or role, you can promote or block relevant content specific to each user group.

Q: What are the benefits of personalizing the AI search experience? A: Personalizing the AI search experience offers several benefits, including faster access to relevant information, improved user satisfaction, and increased efficiency in finding the desired information. By understanding user preferences and adapting search results accordingly, you can enhance the overall search experience.