NobleBlocks

From the research index

The paper comes from the research index. It wasn’t submitted here.

Journal article

SEQ

Siqiang Luo, Jiafeng Hu, Reynold Cheng and 2 others

6 Nov 2017

Abstract

No PDF here

The full text is at the publisher

You can read the abstract here, or open it at the publisher.

Read at the publisher

Spatial object search is prevalent in map services (e.g., Google Maps). To rent an apartment, for example, one will take into account its nearby facilities, such as supermarkets, hospitals, and subway stations. Traditional keyword search solutions, such as the nearby function in Google Maps, are insufficient in expressing the often complex attribute/spatial requirements of users. Those require- ments, however, are essential to reflect the user search intention. In this paper, we propose the Spatial Exemplar Query (SEQ), which allows the user to input a result example over an interface inside the map service. We then propose an effective similarity measure to evaluate the proximity between a candidate answer and the given example. We conduct a user study to validate the effectiveness of SEQ. Our result shows that more than 88% of users would like to have an example assisted search in map services. Moreover, SEQ gets a user satisfactory score of 4.3/5.0, which is more than 2 times higher than that of a baseline solution.

Identifiers

Discussion

Citations

3Cited by
9References

Topics

Details

Authors
Siqiang Luo, Jiafeng Hu, Reynold Cheng, Jing Nathan Yan, Ben Kao
Published
6 Nov 2017
Issue
Pages 2179–2182
Language
EN

More

Suggest a correction or report