Name
Abstract | ||
|---|---|---|
This paper describes a social experiment on an advisory recommender system for home energy-saving, called KNOTES. Based on the user's value sense and the effectiveness of the advice, KNOTES aims to recommend highly effective advices over the user's own preferences. In addition, KNOTES uses an advice reference history to avoid the repetition of redundant advice. For the social experiment, forty-seven subjects used KNOTES for about two months. Introducing four metrics for comparing KNOTES with a random recommender, this paper verifies that KNOTES could recommend the advices which are desirable from the view of energy-saving and could avoid the repetition of redundant advices. The remaining issue has been prediction of the users' preferences according to their value sense. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-39209-2_61 | HCI (13) |
Keywords | DocType | Citations |
effective advice,home energy-saving,advisory recommender system,social experiment,advice reference history,forty-seven subject,redundant advice,random recommender,value sense,paper verifies,recommender system,knowledge management | Conference | 0 |
PageRank | References | Authors |
0.34 | 7 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiroki Shigeyoshi | 1 | 17 | 3.21 |
| Ken'iti Tamano | 2 | 0 | 0.34 |
| Ryosuke Saga | 3 | 27 | 18.12 |
| Hiroshi Tsuji | 4 | 25 | 4.53 |
| Shuki Inoue | 5 | 7 | 2.25 |
| Tsuyoshi Ueno | 6 | 14 | 4.37 |