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Personalisation top trumps cards
The document discusses various potential features for a library application, including showing what course-mates are viewing, allowing users to create lists of favorites, bookmarking articles to read later, viewing recent searches and items viewed, receiving personalized skill recommendations, customizing recommendations by topic or source, and receiving item recommendations based on the user's browsing history. Privacy and pedagogical concerns are noted for some of these features.
Personalisation top trumps cards
- 1. See what yourcourse-mates are looking at Library application: Benefits to users: Privacy concerns: Pedagogy concerns: Difficulty to achieve: Comments: Example from Last.fm showing what your contacts are listening to, and example from Spotify showing what contacts in your network have been listening to. The Last.fm one also shows whether or not the contact is currently online.
- 2. Favourite author/journal/database Figure 2:Adding favourites Figure 3: viewing/editing favourites Library application: Benefits to users: Privacy concerns: Pedagogy concerns: Comments: Figure 1: homepage Examples from Ticketmaster showing that you can add venues, artists or events to a “favourites” list (Figure 1) which will then be used to send you email notifications about shows in your area. Favourites with local events are also shown on the homepage when you log in to Ticketmaster (Figure 2). Your list of favourites can easily be edited (Figure 3).
- 3. Read later Library application: Benefits to users: Privacy concerns: Pedagogy concerns: Difficultyto achieve: Comments: Bookmarklet or button which enables the reader to flag an article or other information resource as something they want to read later. All flagged items are then aggregated into a list which can be sorted, tagged and shared.
- 4. Recent searches Library application: Benefits tousers: Privacy concerns: Pedagogy concerns: Difficulty to achieve: Comments: Example from Google web history showing the searches a person has done recently and what they clicked on in the search results. There is also the option to filter by the type of resource (e.g. web/images/videos/books)
- 5. Recently viewed items Library application: Benefitsto users: Privacy concerns: Pedagogy concerns: Difficulty to achieve: Examples from Amazon and YouTube showing items you recently viewed. Some retail sites will do this for the length of your browsing session, even if you’re not logged in.
- 6. Skills for you Libraryapplication: Benefits to users: Privacy concerns: Pedagogy concerns: Difficulty to achieve: Comments: Example from Lumosity.com showing the first steps of setting up a personalised skills programme. This would later provide personalised recommendations for skills to study and a progress indicator.
- 7. Set preferences forrelevance of topics/subjects and sources Library application: Benefits to users: Privacy concerns: Pedagogy concerns: Difficulty to achieve: Comments: Example showing sliders allowing you to personalise Google news to show more stories from some categories and fewer from others. It also allows you to give particular sources of news more or less weight.
- 8. Recommendations based onother people’s visits (Customers who viewed this also viewed) Library application: Benefits to users: Privacy concerns: Pedagogy concerns: Data needed:
- 9. Recommendations based onyour previous visits Examples from Amazon and Ticketmaster showing recommendations based on the logged in user’s previous browsing history on that website. Amazon allows you to tell them not to use particular items for recommendations (Figure 1). Library application: Benefits to users: Privacy concerns: Pedagogy concerns: Difficulty to achieve: Comments Figure 4: Why recommended?
- 10. New item recommendationsbased on your previous visits Library application: Benefits to users: Privacy concerns: Pedagogy concerns: Difficulty to achieve: Example from Amazon showing recommendations for new items based on things you’ve looked at in previous visits. This also allows user to request that a particular item from previous visits is not used for recommendations. Comments: