User modeling for personalized city tours
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User Modeling for Personalized City Tours. Josef Fink & Alfred Kobsa. Robert Whitaker. Problem Discussed. develop “a user modelling server that offers services to personalized systems with regard to the analysis of user actions, the representation of assumptions about the

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User Modeling for Personalized City Tours

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User modeling for personalized city tours

User Modeling for Personalized City Tours

Josef Fink & Alfred Kobsa

Robert Whitaker


Problem discussed

Problem Discussed

develop “a user modelling server that offers

services to personalized systems with

regard to the analysis of user actions, the

representation of assumptions about the

user, and the inference of additional

assumptions based on domain knowledge

and characteristics of similar users”


What is a user modelling system

What is a User Modelling System

  • Application that acquires and stores evidence about a person

  • Identifies consistencies and inconsistencies held about a user

  • Answer queries of an application about the user

  • Assist in the personalisation of the users experience


Background

Background

  • Deep Map Project

    • Group of projects aimed at developing personalised and mobile tourist guides

  • Web Guide Sub Project

    • Gives personalised tour recommendations for the city of Heidelberg


Web guide project

Web Guide Project

No Personalisation

Personalisation


Work performed

Work Performed

  • Explored the characteristics of user modelling systems already developed

  • Developed a generic User Modelling Server

  • Demonstrated a customisation of the server for the tourist domain


User modelling system background study

User Modelling System Background Study

  • Generic Requirements

    • Learn interests and preferences of users based on their usage of the application

    • Predict interests and preferences of users based on those of similar users

    • Infer additional interests using domain knowledge

    • Supply an authorised application with current information about the user


User modelling system background study1

User Modelling System Background Study

  • Additional Requirements need for domain

    • Need to take into account demographic data

    • A priori knowledge about the user is generally not available

    • Explicit acquisition of data at runtime is restricted to a short interview

    • Adapting to change should be relatively quick


User modelling server architecture

User Modelling Server Architecture


External clients

External Clients

  • Type of client is endless

  • Type of client was important when designing storage of data

    • Uses directory management system instead of conventional database


Directory component

Directory Component

  • Four types of models

    • User Models

    • Usage Models

    • System Models

    • Service Models


User modelling components

User Modelling Components

  • What makes it generic

  • Components that allow the system to be customised to the specific domain

  • Examples shown

    • User Learning Component (ULC)

    • Mentor Learning Component (MLC)


User learning component

User Learning Component

  • Uses Univariate Significance Analysis


Mentor learning component

Mentor Learning Component

  • Uses Spearman Correlation

  • Three Steps

    • Findings similar users

    • Selecting Mentors

    • Computing Predictions


Summary

Summary


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