Devhaus was commissioned to create a custom search engine for the Spunout website, with the primary goal of enhancing the user experience by tailoring search results to better match the intentions of the users. Spunout, as Ireland’s youth information website, provides a wealth of resources on a variety of topics relevant to young people, including mental health, education, employment, and lifestyle. The existing search functionality needed improvement to ensure that users could quickly and easily find the most relevant and helpful content.
One of the key challenges addressed by the custom search engine was understanding the intention behind each user’s search query. Unlike traditional search engines that often return a broad range of results, the Spunout search engine was designed to interpret the specific needs and contexts of its users.
The development of the custom search engine involved creating a robust framework based on nodes and intents, which are integral to understanding and categorizing search queries effectively.
Nodes: In the context of this search engine, nodes represent distinct points or categories of information that users might seek. Each node corresponds to a specific topic or type of content available on the Spunout website. For example, nodes could include categories such as mental health, career advice, educational resources, and lifestyle tips.
Intents: Intents refer to the underlying purpose or goal behind a user’s search query. By identifying the intent, the search engine can better match the query to the most relevant node. Common intents might include seeking information, finding support services, accessing tips, or looking for specific articles or resources.
Keyword Analysis and Intent Mapping: The first step involved analyzing common search terms and phrases used by the Spunout audience. Each search query was then mapped to an intent. For example, a search query like “how to deal with exam stress” would be mapped to the intent of seeking information and advice on mental health and coping strategies.
Node Creation: Based on the identified intents, Devhaus created a comprehensive set of nodes representing all major topics and subtopics covered on the Spunout website. Each node was populated with relevant articles, resources, and information.
Query Routing: When a user entered a search query, the custom search engine analyzed the query to determine the primary intent. It then routed the query to the most appropriate node(s) based on this intent. For instance, a query about “job interview tips” would be routed to nodes related to employment advice and career resources.
Result Ranking and Display: Once the query was routed to the relevant nodes, the search engine ranked the available content based on relevance, ensuring that the most pertinent articles appeared at the top of the results. Factors such as content freshness, user engagement metrics, and contextual relevance were considered in the ranking algorithm.
Since its implementation, the custom search engine has significantly improved the user experience on the Spunout website. Users are now able to find relevant content more efficiently, reducing frustration and increasing engagement with the site. The tailored search results have led to higher satisfaction rates among users, as they can quickly access the information and resources they need.
Moreover, the search engine’s ability to understand and respond to user intent has helped Spunout better fulfill its mission of supporting young people in Ireland. By ensuring that users are directed to the most appropriate articles and resources, the custom search engine has enhanced the overall effectiveness of the Spunout platform.
