In a previous post I discussed some initial investigations into the use of unsupervised learning techniques (i.e. clustering) to identify usage patterns in web search logs. As you may recall, we had some initial success in finding interesting patterns of user behaviour in the AOL log, but when we tried to extend this and replicate… Continue reading Mining search logs for usage patterns (pt 2)
Tag: clustering
Mining search logs for usage patterns (Part 1)
As I mentioned in a previous post I’ve recently been looking into the challenges of search log analysis and in particular the prospects for deriving a ‘taxonomy of search sessions’. The idea is that if we can find distinct, repeatable patterns of behaviour in search logs then we can use these to better understand user… Continue reading Mining search logs for usage patterns (Part 1)