NDLI: Implicit interaction profiling for recommending spatial content

Please wait, while we are loading the content...

Close pair queries in moving object databases

In-network surface simplification for sensor fields

Extracting spatial association rules from spatial transactions

A spatio-temporal access method based on snapshots and events

3D trajectory matching by pose normalization

Time relaxed spatiotemporal trajectory joins

Towards topological consistency and similarity of multiresolution geographical maps

A landform-based approach for the representation of terrain silhouettes

Installation of a tsunami early warning system in the Indian Ocean

Synthetic generation of cellular network positioning data

Monitoring dynamic spatial fields using responsive geosensor networks

Finding corresponding objects when integrating several geo-spatial datasets

Improving the R*-tree with outlier handling techniques

Use of rational numbers in the design of robust geometric primitives for three-dimensional spatial database systems

Two ellipse-based pruning methods for group nearest neighbor queries

ASPEN: an adaptive spatial peer-to-peer network

Automatic extraction of road intersections from raster maps

Shapes based trajectory queries for moving objects

Spatial queries in sensor networks

Quality-driven approximate methods for integrating GIS data

Image-based change detection of areal objects using differential snakes

Continuous level-of-detail modeling of buildings in 3D city models

Efficient query processing on spatial networks

Dimension-refined topological predicates

Visualizing the results of interactive queries for geographic data on mobile devices

Supporting uncertainty in moving objects in network databases

Error analysis of localization systems for sensor networks

Spatial bayesian learning algorithms for geographic information retrieval

Multi-resolution out-of-core modeling of terrain and teological data

Adaptive nearest neighbor queries in travel time networks

Contraflow network reconfiguration for evacuation planning: a summary of results

Implicit interaction profiling for recommending spatial content

Content Provider	ACM Digital Library
Author	Weakliam, Joe Bertolotto, Michela Wilson, David
Abstract	When individuals request task-relevant spatial content in the form of area maps, GIS applications typically return default maps displaying standard map content. Little effort is made by these applications to present users with personalized maps displaying spatial content tailored to users' specific interests. Maps generated usually contain superfluous information that hinders the user's end goal and is irrelevant in terms of their spatial content preferences. Users may then customize the map through toggling features on and off but this must be done repeatedly whenever they request a map. One solution is to demand explicit input from users, before presenting them with a map, detailing features of interest related to their current task. This, however, proves an expensive answer as the system is reliant on user input. Another solution is to store simplistic profile information whereby the user ticks several feature boxes. While simple customizations could be stored, only basic interaction information is captured in the user profiles. We outline an approach to solving this problem by providing personalized maps whereby only the most relevant spatial content is returned each time a user requests a map. Map personalization is realized by monitoring users' implicit interactions with maps when locating content and regions of interest. User preferences regarding map features and zones of interest are inferred from the actions executed. This is an attractive solution, as it requires no real effort from the user, other than standard usage. All map interactions are captured at the interface and the system learns users' interests by unobtrusively observing their behavior. A persistent user model storing information describing user interests related to spatial content is created and evolves over time.
Starting Page	285
Ending Page	294
Page Count	10
File Format	PDF
ISBN	1595931465
DOI	10.1145/1097064.1097104
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2005-11-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Personalization User interaction Implicit profiling User modeling Data mining
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Privacy-enhanced personalization

Implicit Profiling for Contextual Reasoning About Users ’ Spatial Preferences

Analysis of implicit interest indicators for spatial data

Tags, Titles or Q&As?: Choosing Content Descriptors for Visual Recommender Systems

IMPROVING WEB SEARCH RESULTS IN WEB PERSONALIZATION

User Implicit Interest Indicators learned from the Browser on the Client Side

Display time as implicit feedback: understanding task effects

A user profile-based personalization system for digital multimedia content

Web Search Personalization by User Profiling

Implicit interaction profiling for recommending spatial content

Similar Documents

Privacy-enhanced personalization

Implicit Profiling for Contextual Reasoning About Users ’ Spatial Preferences

Analysis of implicit interest indicators for spatial data

Tags, Titles or Q&As?: Choosing Content Descriptors for Visual Recommender Systems

IMPROVING WEB SEARCH RESULTS IN WEB PERSONALIZATION

User Implicit Interest Indicators learned from the Browser on the Client Side

Display time as implicit feedback: understanding task effects

A user profile-based personalization system for digital multimedia content

Web Search Personalization by User Profiling

Implicit interaction profiling for recommending spatial content