Changes
→A Simple Algorithm for User Query Classification & Resource Recommendation
By leveraging the cataloging efforts that have classified large collections, we can efficiently classify queries with a high rate of accuracy. By applying this approach to the library discovery layer, we can offer users tailored result sets from subject-specific A & I services. We can also recommend subject specialists & most appropriate campus libraries.
This presentation will discuss the technical challenges of implementing such a system, and the trouble with mapping traditional subject classifications to non-book resources(databases, people, buildings, etc.). The dangers of ''incorrect'' automatic query classification will be discussed, along with strategies to combat this. A functional system will be demonstrated and code will be made available.