The increasingly large quantities of points of interest make choosing between all the available information a painful task for the users. This limitation is aggravated by the reduced screen space of most mobile devices. To minimize these issues, it is fundamental that the information shown to the user is relevant, helping them in making good choices and decisions. We present a two phase evaluation of an adaptive degree of interest function that uses location and temporal contexts combined with the historical context of the previous searches to quantify the relevance of the points of interest shown to the user.
|Name||GRAPP 2013 IVAPP 2013 - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications|
|Conference||International Conference on Computer Graphics Theory and Applications, GRAPP 2013 and International Conference on Information Visualization Theory and Applications, IVAPP 2013|
|Period||21/02/13 → 24/02/13|
- Degree of interest function
- Information visualization
- Mobile devices