Paper Info
Title
Automatic properties adjusting method using user operations for local search smartphone applications
Abstract
We propose a recommendation method of geographical information for mobile devices based on user search operations using local services such as Yelp. We presume that we can estimate the search conditions using user operations for a region and category by analyzing the user operations. There are four operations, changing the region, selecting the categories, viewing the objects, and selecting an object. We use the user operations to extract important factors attached to the user. At this time, we think that users have the requirement that there be an appropriate number of displayed objects. Thus, we propose a recommendation method with an automatic adjusting search property to satisfy the constrained condition for the number of displayed objects. We aim for intelligent interaction such as optimizing the search properties to estimate the user requirements from realizable operations on a general interface. In this paper, we discuss an adjusting method and developed prototype system.
Year
DOI
Venue
2012
10.1145/2254556.2254683
AVI
Keywords
Field
DocType
developed prototype system,appropriate number,user requirement,general interface,search property,automatic adjusting search property,user search operation,recommendation method,search condition,local search smartphone application,user operation,automatic property,user requirements,gis,local search,mobile device,satisfiability
Computer science,Mobile device,Human–computer interaction,Local search (optimization),User interface design,User requirements document
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
3
Name
Order
Citations
PageRank
Kaori Kobayashi100.34
Daisuke Kitayama26019.42
Kazutoshi Sumiya355084.30