Name
Title | ||
|---|---|---|
Where Can we Accomplish our To-Do?: Estimating the Target Location by Analyzing the Task |
Abstract | ||
|---|---|---|
Reminders are used in various situations. The users of a location-based reminder system must specify the location to receive the notification, and spend extra time doing so. However, if the location can be estimated from the task that the user enters, this step can be eliminated. The authors focused on To-Do list, i.e., tasks the user wants to accomplish. It was assumed that the location where the To-Do can be accomplished could be estimated by parsing the To-Do. In this paper, the authors propose a method of estimating the place where the given To-Do can be accomplished. A list of daily To-Dos was collected from students through a survey questionnaire, and the To-Dos were used to evaluate the proposed method. In addition, the authors introduced a prototype of a location-based reminder system that applied the proposed method. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/AINA.2018.00074 | 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) |
Keywords | Field | DocType |
Text classification,To Do,Context awareness,Location based reminder,Geolocation | Training set,Web page,Task analysis,Information retrieval,Computer science,Global Positioning System,Parsing,Distributed computing | Conference |
ISSN | ISBN | Citations |
1550-445X | 978-1-5386-2196-7 | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Reiji Suzumura | 1 | 0 | 0.34 |
| Shogo Matsuno | 2 | 0 | 0.34 |
| Minoru Ohyama | 3 | 33 | 9.48 |