Council libraries play a vital role in providing access to information, fostering literacy, and building community connections. AI-powered recommendation systems offer an exciting opportunity for libraries to enhance user experience, making it easier for patrons to discover relevant books, articles, and other resources within their vast collections.
How AI Recommends Library Resources:
These systems typically work by analysing data such as:
- A user's borrowing history.
- Items they have searched for or viewed online.
- User preferences or stated interests.
- The borrowing patterns of similar users.
AI algorithms process this data to identify patterns and predict which items a user might be interested in next, presenting personalised suggestions through the library catalogue (OPAC) or other digital channels.
Key Benefits:
- Improved User Experience: Help patrons find relevant materials more easily.
- Increased Engagement: Encourage greater use of library services and collections.
- Enhanced Discovery: Introduce users to items they might not find through traditional browsing or searching.
- Better Resource Utilisation: Promote the use of under-utilised parts of the collection.
AI Recommendations in the Library Sector:
While widespread adoption in Australian public libraries is still emerging, the trend is growing globally and nationally:
- National Library of Australia (NLA): Has identified AI-powered personalised content recommendations as a key strategic goal to improve discoverability and impact, emphasising responsible and ethical use.
- Civica Spydus: This library management system, used by libraries in Australia, incorporates AI-driven recommendation features based on borrowing history directly within its OPAC.
- Global Trend: Research indicates recommender systems are among the more developed AI applications in libraries worldwide.
- Other Tools: Kodora's "Librarian AI" demonstrates a standalone AI book recommendation engine. Macquarie University's "Research Assistant" uses AI for natural language search.
Ethical Considerations:
Implementing AI recommendations requires careful thought:
- Ethics: Adherence to ethical standards is crucial, as highlighted by the NLA.
- Bias: Algorithms might inadvertently reinforce existing biases or limit exposure to diverse perspectives.
- Privacy: Protecting user borrowing history and data is paramount.
- Transparency: Users should understand how recommendations are generated.
AI recommendation systems hold significant potential for Australian council libraries to personalise services and deepen engagement with their communities. While still an evolving area, platforms like Civica Spydus are integrating these features, and the NLA's strategic focus signals growing importance. As libraries explore this technology, prioritising ethical considerations and user privacy will be key to building trust and realising the benefits.
Looking to implement AI in your council beyond the library? Our in-depth guide, *How to Apply AI Directives: A Practical Guide for Councils*, breaks down how to responsibly apply AI across local government — including customer service, waste management, road maintenance, and more. It's tailored for Australian councils and includes real-world examples and actionable steps.