Personalisation top trumps cards


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Top trumps cards for Activity 1.

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Personalisation top trumps cards

  1. 1. See what your course-mates are looking atLibrary application: Benefits to users: Privacy concerns: Pedagogy concerns: Difficulty to achieve: Comments:Example from showing what your contacts are listening to, and example from Spotify showingwhat contacts in your network have been listening to. The one also shows whether or not thecontact is currently online.
  2. 2. Favourite author/journal/databaseFigure 2: Adding favouritesFigure 3: viewing/editing favouritesLibrary application: Benefits to users: Privacy concerns: Pedagogy concerns: Comments:Figure 1: homepageExamples from Ticketmaster showing that you can addvenues, artists or events to a “favourites” list (Figure 1)which will then be used to send you email notificationsabout shows in your area.Favourites with local events are also shown on thehomepage when you log in to Ticketmaster (Figure 2).Your list of favourites can easily be edited (Figure 3).
  3. 3. Read laterLibraryapplication:Benefits tousers:Privacyconcerns:Pedagogyconcerns:Difficulty toachieve:Comments:Bookmarklet or button which enables the reader to flag anarticle or other information resource as something they wantto read later.All flagged items are then aggregated into a list which canbe sorted, tagged and shared.
  4. 4. Recent searchesLibraryapplication:Benefits to users: Privacy concerns: Pedagogyconcerns:Difficulty toachieve:Comments:Example from Google web historyshowing the searches a person hasdone recently and what they clickedon in the search results.There is also the option to filter bythe type of resource (e.g.web/images/videos/books)
  5. 5. Recently viewed itemsLibraryapplication:Benefits tousers:Privacyconcerns:Pedagogyconcerns:Difficulty toachieve:Examples from Amazon andYouTube showing items yourecently viewed.Some retail sites will do this for thelength of your browsing session,even if you’re not logged in.
  6. 6. Skills for youLibrary application: Benefits to users: Privacy concerns: Pedagogyconcerns:Difficulty toachieve:Comments:Example from 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. 7. Set preferences for relevance of topics/subjects and sourcesLibrary 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 somecategories and fewer from others.It also allows you to give particular sources of news more or less weight.
  8. 8. Recommendations based on other people’s visits(Customers who viewed this also viewed)Library application:Benefits to users:Privacy concerns:Pedagogy concerns:Data needed:
  9. 9. Recommendations based on your previous visitsExamples from Amazon andTicketmaster showingrecommendations based onthe logged in user’s previousbrowsing history on thatwebsite. Amazon allows youto tell them not to useparticular items forrecommendations (Figure 1).Library application: Benefits to users: Privacy concerns: Pedagogy concerns: Difficulty to achieve: CommentsFigure 4: Why recommended?
  10. 10. New item recommendations based on your previous visitsLibraryapplication:Benefits tousers:Privacyconcerns:Pedagogyconcerns:Difficulty toachieve:Example from Amazon showing recommendations for new items based on things you’velooked at in previous visits.This also allows user to request that a particular item from previous visits is not used forrecommendations.Comments: