Tag Archives: recommender
User Feedback Results – Super 8
In an effort to find the magic number the SALT team opened its testing labs again this week. Another 6 University of Manchester post graduate students spent the afternoon interrogating the Copac and John Rylands library catalogues to evaluate the … Continue reading
Final blog post
In this final post I’m going to sum up what this project has produced, potential next steps, key lessons learned, and what we’d pass on to others working in this area. In the last five months, the SALT project has … Continue reading
Lessons learned from the user evaluation perspective (or can we define the ‘long tail’?)
The key lesson we’ve learned during this project is that the assumptions behind the hypothesis of this project need to be reconsidered, as in this context the ‘long tail’ is complex and difficult to measure. Firstly how do we evaluate … Continue reading
What do the users think of the SALT recommender?
Following internal in house testing the recommender was open to the users. In the last week of July 18 humanities postgraduates passed through the SALT testing labs, (11 PhD students, 3 taught Masters students and 4 research students). Lisa and … Continue reading
Refining SALT (techie lessons learned)
While early tests with a sample set of data from JRUL were encouraging, see See SALT – a demo, an overhaul of the methodology behind the recommender API was required once the full set of loan transactions was obtained. It … Continue reading
A sampling of SALT. How the recommender is working and initial feedback from postgrads
We’re gearing up to meet with some of our collaborators tomorrow from the M25 consortium and Cambridge University Library; they’re helping us explore whether the model we’re developing for SALT (i.e. a centralised aggregation service & a shared API) is … Continue reading
See SALT – a demo
A further set of sample data from JRUL, comprising 100,000 loan transactions this time, has been processed and used to test a prototype web API. Signs are encouraging. The process begins with data being extracted from the Talis library management … Continue reading
