Job Search System in Android Environment

8/10/2019 Job Search System in Android Environment

1/33

Job search system in android environment - Application of Intelligent Agents

Objectives

To develop an intelligent agent to perform the job search operations by interacting with the

employer & job search coordinator agents. These agents would function based on fuzzy

preference rules, to make a proper decision in getting a list of jobs corresponding to the user

desired specification.

Introduction

The Job selection process in todays global economy can be a daunting task for prospective

employees no matter their experience level. It involves a detailed search of newspapers, job

websites, human agents, etc, to identify an employment opportunity that is perceived compatible

to abilities, anticipated remuneration and social needs.

Search sites such as Seek, Academickeys.com, Careerbuilder.com, Job-hunt.org, Monster.com,

etc allow prospective employees to register online and search and apply for employment.

However most do very little to profile employers against employees or even attempt to confirm

the validity of the data submitted by prospective employees. Also no information exists on

feedback of the employer too on various criteria submitted by employees. Taking all these intoconsideration we here have proposed an intelligent agent (instead of the human agent) to perform

the same search operations by interacting with the employer and job search coordinator agents.

The proposed solution would involve the creation of an applicant, job search and employer

agents that would use fuzzy preference rules to make a proper decision in getting a list of jobs

based on the users search criteria and also feed the rating of the employer based on feedback

submitted by the past & current employees which is unique and first of its kind. All results

applicable are organized based on a dynamic calculation of expected utility from highest tolowest and displayed as the job search listing. The system would use ANDROID 2.2, JADE-

LEAP and the Google API to provide a robust, user friendly solution.

Project Category: Networking


2/33

Tools

Java for Android

Java 2 Standard Edition (J2SE)

Java Servlets

Java Server Pages (JSP)

SQL

HTML

Platform

Android

Windows

Hardware Requirements

Internet enabled mobile device working on Android platform, 1 GHz processor, 512 MB

RAM.

Computer with Min Intel/AMD 2Ghz Processor, 2 GB RAM, 10 GB Hard Disk with

Internet Connection with static IP Address

Software Requirements

MS Sql Server

Java Development tool kit (JDK).

Apache Tomcat Server

Web browser

Eclipse IDE with Android Development Tool (ADT) plug-in.

Problem Definition

Job search is not a new area as several significant works have been done in several key areas to

modernize, improve security and increase the success and usage of these systems. Some of the

works that have inspired the conception of this research include:


3/33

Improving Job Search by network of professionals and companies research in which job

clusters were created to provide relationship between categories of professionals and company

needs and is based on a network of job offers, discovering interesting relationships between them

and clustering these to represent companies or professional. The output is a visualization of the

network of professions and companies [2].

The Semantic Web-based recruitment research used the data exchange between employers,

applicants and job portals; and is based on a set of vocabularies in ontology which provide

shared terms to describe occupations, industrial sectors and job skills. Monster.com uses a

similar semantic web-based technology [1].

Agent-based Application for Supporting Job Matchmaking for Teleworkers is a multi-agent

system that performs job matchmaking in teleworking community focusing on the time

consuming task of searching for appropriate working partners [3].

Risk Aversion and Expected Utility theories which calibrate the relationship between risk

attitudes over small and large stakes when the expected utility hypothesis is [4].

Open Source Java Framework for Biometric Web Authentication Based on BIOAPI which

provides interoperability between different software applications and devices by using the

BioAPI specification which allows software applications to communicate with a broad range of

biometric technologies [5].

Although these and other research have contributed to the implementation of several web based

and android applications including monster.com, seek.com, academickeys.com,

careerbuilder.com, LinkUp, HireADroid, etc., there is no work that support an agent based

architecture running on JADE and Android that is capable of providing utility based ordering of


4/33

jobs, dynamic employer rating over period, fuzzy job selection rules which is unique in our

system too [6].

So taking these into consideration we have developed the Intelligent Agent-based Mobile Job

Search system. But before going into system developed we need to review details on Intelligent

Agents, Job search Theory, Agent based utility.

Requirement Specifications

Over the years there has been much controversy about the definition of an artificial intelligent

agent [7]. There exists a weaker notion of agents and a stronger more controversial notion. [8]

define an agent as anything that can be viewed as perceiving its environment through sensors

and acting upon that environment through effectors. [9] agrees with this definition but adds

additional clarity by stating that intelligent agents continuously perform three functions:

perception of dynamic conditions in the environment;

action to affect conditions in the environment;

and reasoning to interpret perceptions, solve problems, draw inferences and determine actions.

Agents should autonomously carry out activities by being independent or self-directed and

should not depend on external input only from human operator or other agents to act manifesting

social abilities when interacting with other agents (and possibly humans) via some kind of agent-

communication language [7-10].

Today artificial intelligent agents are integrated into many computer-based systems including

expert systems, job search engines, web searches, info-bots and so on. These autonomous agents

can perform time consuming, mundane and sometimes even life endangering tasks reliably,

instead of the human agent [11]. [10] describes a stronger notion of agency in which agents

process characteristics such as knowledge, belief, intention and obligation.

Other attributes applies to stronger agent notion. These include mobility where agents move

around an electronic network, veracity where agents will not knowingly communicate false


5/33

information and benevolence where the assumption is that an agent will try to do what it is asked

and will not have conflicting goals [12].

Job Search Theory

In a dynamic labor market, the process by which people find new jobs has importance to

policymakers and scholars also. Policymakers have made attempts to design training and other

programs to help match an individuals skills with the requirements of potential employers

[13][14].

Job-search theory attempts to propose strategies for making optimal employment decisions by

considering factors that determine individuals demands and their prospect for finding an

acceptable job offer [13][14].

Job search models are measured in both discrete and continuous time and a simple model can be

used to represent the basic search behavior of an unemployed worker where the intent is to

maximize expected utility [14]. This research focuses on Discrete Time Job search. In Discrete

Time Job search the individual is interested in choosing a policy (i.e. a sequence of decision

rules) that determines whether or not to accept any particular job offer. The eventuality of the job

offer is referred to as the outcome and is dependent on preferences of the searcher such as skills,

pay, location of the employment opportunity, and the willingness of the employer to employ the

searcher. The review of job search theory provides the basis for a discussion on agent-based

utility relevant to the job search process.

Agent-based Utility

In economics, utility functions are used to model preferences of agents. These functions serve as

a device for us to assign a single number to any bundle (Handout on Utility Function

Transformation 2002). Proponents of Subjective Expected Utility (SEU) theory have offered

many axiomatisations of their models. One approach develops utility and subjective probability

as distinct concepts and provide explicit axioms which justify the combination of these into an

expected utility ranking of the strategies (options, actions, prospects) before a decision maker

[4].


6/33

In 1979 weighted utility theory was proposed by [15], and then refined by [15]. [16]. [15]

replaced the independence axiom with weak independence and convexity axioms which led to a

weighted linear representation. Expected utility u is a linear function on the simplex:

{p | p = (p1, p2 ,, pn); pi = 1; " I, pi 0}

A prospect (x1, p1; ; xn, pn) is a contract that yields outcome xi with probability pi based on

the linear function above. To simplify notation, we omit null outcomes and use (x, p) to denote

the prospect (x, p; 0, 1-p) that yields x with probability p and 0 with probability 1-p. The

(riskless) prospect that yields x with certainty is denoted by (x). Thus expectation to choose

prospects is based on

U(x1, p1; ; xn, pn) = p1 u(x1) + + pn u(xn).

That is, the overall utility of a prospect, denoted by U, is the expected utility of its outcomes

[17].

Project Planning and Scheduling

A deliverable differs from aproject milestone in that a milestone is a measurement of

progress toward an outcome whereas the deliverable is the result of the process. For a typical

project, a milestone might be the completion of a product design while the deliverable might

be the technical diagram of the product. (I ntermediate Output)

S.No Task Week Milestone/Deliverable

1. Planning and analysis

Current System Analysis Week - 1 Current System Flaws

Project Planning Week1 Proposed System

Requirement Analysis Week - 2 Hardware, Software Requirement

Specification

2. Designing and Coding

Logical Design Week - 4 DFDs, ERDs, Decision Table

Physical Design Week5 - 6 Storyboards

3. Implementation

Working with Front - End Week5 - 6 Prototype

Working with Back - End Week6- 7 Developed System

4. Validation and Testing

Test Plans Week - 8 Errors in the System

Test Scenarios Week - 9 Final Product

5. Final Presentation Week - 10 Demonstration
http://en.wikipedia.org/wiki/Milestone_(project_management)http://en.wikipedia.org/wiki/Milestone_(project_management)


7/33

Cost Estimation of the project

The cost of a project is derived not only from the estimates of effort and size but from

other parameters such as hardware, travel expenses, telecommunication costs, training cost etc,

should also be taken into account. Software cost estimation is the process of predicting the

amount of effort required to build a software system. Models provide one or more mathematical

algorithms that compute cost as a function of a number of variables. Size is a primary cost factor

in most models and can be measuring using lines of code or function points. Models used to

estimate cost can be categorized as either cost models or constraint models.

COCOMO is an example of a cost model. Software cost estimation is the process of

predicting the amount of effort required to build a software system. Cost estimates are needed

throughout the software lifecycle. Preliminary estimates are required to determine the feasibility

of a project. Detailed estimates are needed to assist with project planning. The actual effort for

individual tasks is compared with estimated and planned values, enabling project managers to

reallocate resources when necessary. The article is intended for those who are new to project cost

estimation techniques, and those who would like to have a feedback on COCOMO II model.

My objective is to describe in a simple way basic cost estimation steps, tools and

assumptions, having a real project in mind, and supplying only necessary details on the project

itself. COCOMO (Constructive Cost Model) is a model that allows software project managers to

estimate project cost and duration.

The model is simple and well tested

Provides about 20% cost and 70% time estimate accuracy

In general, COCOMO estimates project cost, derived directly from person-months effort, by

assuming the cost is basically dependent on total physical size of all project files, expressed in

thousands single lines of code (KSLOC).

The estimation formulas have the form:

Effort (in person-months) = a x KSLOCb


8/33

Where

SLOC: Single lines of code

a : is a coefficient

b: Scaling factor

Project Task Set

Process Model

PA Software will be using the Rapid Prototyping model during design and implementation:

Estimation Technique: Constructive Cost Model (CoCoMo)

The CoCoMo model was also used to verify the estimate calculated by using the Function Point

metric.

Job Environment assumes itself to be an Intermediate, Semi-Detached software project.Effort = a (KLOC) b

Duration = c (Effort) d

Equation values for Effort calculation:

a = 3.0

b = 1.12


9/33

Equation values for Duration calculation:

c = 2.5

d = 0.35

Estimate for: Constructive Cost Model (CoCoMo)

Effort = 3.0 (17.5) 1.12 = 74.016

Duration = 2.5 (74.016) 0.35 = 11.277

Reconciled Estimate

Effort (in Function Points) Estimate:

Total Function Points: 585.17

Effort (in CoCoMo) Estimate:

Effort = 74.016

Time in Person Months Estimate:

Function Point: 11.23

CoCoMo: 11.277

Average: 11.2535Task Networ


10/33

Pert Chart

Scope of the Solution

Although online job search sites have greatly improved the job acquisition process there are still

challenges in providing a qualitative approach to job search, providing a job best suited for an


11/33

employee. The literature reviewed confirms that the technologies exist to create a system that

improves the job search process using well founded techniques such as utility theorem applied to

autonomous agents, increased accessibility through the use of mobile technology. This section

provides a design for the construction of such a system as shown in Fig 1 that integrates critical

components to enable it to work effectively. A data enabled mobile network integrated with a

local area network (LAN) is the required platform. This enables efficient agent communication

between the mobile device and the multi-agent environment. All agents in the architecture were

designed to follow the FIPA2000 architecture for Agent Communication Language (ACL)

message passing in multi-agent systems and provide the protocol for managing agent interaction

and coordination (FIPA ACL Message Structure Specification 2002). The main objective of the

system developed[6]

Intelligent agent (instead of human agent) to perform the job search operations by

interacting with employer and job search coordinator agents (Bogle & Suresh, 2011;

Bogle & Suresh, 2011).

Agent based utility concept to provide suitability profiling based on configurable factors

such as distance from work, days and shift requirements, work environment, safety and

hazard considerations, remuneration, skillset, etc.

Employ fuzzy preference rules, to make proper decision in getting a list of jobs

corresponding to the user desired specification.

Enable past and current employees to profile employers based on configurable metrics

Analysis

Data Flow Diagrams


12/33

CONTEXT DIAGRAM

0

JOB PORTAL SYSTEM

Job Seeker

Login

Update Profile

Search Job

Registeration

Admin

Employee

Post Resume

Apply For Job

Create Job Agents

Job Notifications

Registration

Generate Reports

Login

Post Jobs

Search Resume

View Resume

Download Resume

Create Resume Agents

Registration Confirmation

Generate Reports

Customizes Search Criteria

Provide User Authentication

Alters Site Design

Manage User Profile

Send User NotificationCategorizes Job Postings

Displays Recent Jobs

LEVEL 0 DFD

The level zero data flow diagram is the diagram at the level immediately

below the context diagram.


13/33

It "expands" the single process on the context diagram to show the major,

high-level processes (or functions) within the system

Employer

EMPLOYER

1.0Registeration

Insert Details

Registration Confirmation

Employee

2.0Login

Login Request

Login

Request

Request for Agent

5.0

Create

ResumeAgents

Search Resume

3.0Search/

Download/

ViewResume

Search

Resume

Resume

View/

Download

Resume

Add

Job4.0

PostJobs

Request for Add JobJob_Vacancy

Click on Report Button

6.0

Generate

Reports

Job Vacancy Posted

Request for Report

Apply for Registeration

Report on Time Left for each Posting

Request for Agent

Resume_AgentsSegregated Resumes


14/33

Job Seeker

Job Seeker

1.0

Registration

2.0

Login

3.0

Update

Profile

4.0

Create job

Agent

5.0

Search Jobs

Registration Details

6.0

Manage

Resume

Username and password

registerjobseeker

Uploaded resume

Personal details

Verify username and password

Confirm verificationSuccess/failure message

View profile

CreateSearch

AgentKeywords

Location,

Status,

Category,

Company,Uploading,

Deleting,

Editing,

Creating

resume

checkdetail

Tbl_jobposts

Check detail

Refined job list

New detail

Update detail

New account notification

J_JobAgentSearch agent information

7.0Job

Application

tbl_applications

New application

Store application

Tbl_Resume

Uploading,deleting,editing resume

intrestedjobs

Save application

Resumetable

Created resume

registerjobseeker


15/33

Administrator

Admin

SuccessfulLogin

Successful

Login

Background Colorchange Request for View/Delete

Profile Information

SuccessfulLogin

Categorization

CriteriaLogin Details

EmployersDetails

Resume Details

Job-Seekers

Details

BackgroundColor Input

Manage

5.0

Generate

Reports

1.0

Login

4.0

Categorize

Jobs

3.0Manage

Profiles2.0

Customize

Site

registerEmployee

registerJobseeker

J_jobagents

Tbl_jobposts

Resume

6.0

Send Message/

Notification

Notification

Message/notification

and reciepient id

Message/notificationand reciepient id

acknowledgement

acknowledgement

Login acknowledgement

Admin_login

Usenamepassword

Login verification

Color

Background ColorName

Color Change

Show

Profile Details

Profile DeletedNotification

registerjobseeker

registeremployer

ProfileRequest

Profile

Details

ViewProfile Request

Profile details

Delete

Notification

Delete

Notification

Jos Categorized

Job details

Job details

r_jresumeagents

Job

AgentDetails

Resumeagent details

ER Diagram


16/33

Job seeker

Agent

AccountAdministrator

Application

Employer

Job

Message

Resume

SavedJob

Uploads

Has

Submits

Createshas

Posts

recievesCreates

has

sends

Has

Has

has

manages

manages

ENTITY LIFE HISTORY

An entity life history is the behaviour of an object, or a class of objects that share the same

behaviour. The stream of events affecting a persistent object is describable as an entity life

history.


17/33


18/33

Job Seeker:


19/33

Administrator

Database Design

Adv_search


20/33

Apply_master

Candidate_details

Candidate_master


21/33

Company_master

Company_messages


22/33


23/33

For the new users there will be provision for new registration. After getting logged in to the

system the will be guided to the respective pages. The administrator is the controller of the

system operation and act as intermediate between jobseeker and employer.

LOGIN

The valid user can login to the system from the home page using their user id and password. The

user can login to the system through the home page either as Job seeker or as Employer. From

the home page the users can select their respective home pages as per their type of account. User

should supply the correct user name and password through the login form as per their

subscription. The administrator user can get all the different options so as to control and

coordinate the different process. Jobseeker and an Employer can login to the system

purposefully.


24/33

JOB SEEKER

In the jobseeker module, the main functions comprise uploading resume, updating, searching,

applying for the post and unsubscribe. A jobseeker can interactively communicate with the

system. An employee can search different way to get a suitable employment like search by level

of experience, category and location. In order to get registered with the site the user should

upload or edit the resume and user information. They can update the profile as per the

improvements, if interested apply for the particular job as per the employers commencement on

vacancies and user can unsubscribe from the system if he wish.

The jobseeker module is the major attraction of the system. The different options help the user to

easily seek the employment as per their wish. Upload Resume sub module helps the user to

upload the resume for registering in to the job site. The searching is the one of the important

function of the Jobseeker module. A jobseeker can search very informatively using search option

and the unsubscribe option will help the user to cancel the registration.

Upload Resume

Upload Resume sub module helps the user to upload the resume for registering in to the job site.

Through this user can ensure his/her registration in the site. The user can filled all the detailsabout personal information, curriculum details and about the experience through the given

format. And appropriate data is saved in the proper data tables for the future retrieval.

Search


25/33

The searching is one of the important functions of the Jobseeker module. A jobseeker can search

very informatively. This option allow the user to search by Location so as the user can seek if

there any vacancies in a particular location. And the user can also search a job as per his Level of

experience like a fresher or experienced person. In order to search for a special category job the

option can allow searching the job according to Category. The Search option gives a more

interactive searching for the user.

Update Profile

Update Profile allow user to update their profile as per the new changes and curriculum

improvements and achievements. This alternative enables the job seekers to make the necessary

changes in their profile so that they can expose them self with all their existing and latest

qualifications and capabilities in front of the employers.

Apply For Job

The job application is forwarded by the job seeker is also through the Job Seeker module. The

mailing facility allows the user to confirm the registration for the particular vacancy as per the

Employers intimation. If the job seeker apply or conform the registration for the particular job

before the given date then only it is acceptable.

Unsubscribe

This option allows the user to forward an application for cancellation of their registration.

Because of the some circumstances occurs to cancel the registration of the job seeker. The

unsubscribe option will help the user to cancel the registration as their wish and will.

EMPLOYER

Job providers can also register in to the site for selecting best employees for the company. An

employer can trust on the Employees Portal for fill their vacancies with suitable workers in an

interactive and hi-tech way. Employers module include the facilities like Posting the job, View

queries, Search, Issue call letter, update profile, unsubscribe.


26/33

Job Posting/Editing

The role of the Job Posting option is to post the vacancy list of the company to the system. This

will include all information about the particular job like job name,category, level, description,

location, and last date of posting. Some time the salary scale also included. And the employer

can allow updating the posted information. According to the posted jobs the job seeker applies

for the vacancies. And the posted job information pass to the user for referring the availabilities.

The employers can the power of updating the posted in formations.

View Queries

This function allows the employer to view the details of the job seeker who applied for the

particular job so as he could knew the responses for the posted job. Through this view query

option the employer can understand the pulses of the current job seekers and the number of

applicants for the particular job.

Search

Search option allows the employer to search efficient and suitable workers for the company. The

employer can search in different way like location, category and level of employee. The proper

searching can help the employer to find out the availability of the job seekers. He can search by

location in order to check the availability for a particular location. Also the employer can search

according to the different level employees and category of job.

Update Profile


27/33

Update profile use for apply modifications and improvements in the profile. The profile is

always visible with the updated format. The profile includes all the information about the

company with the facilities and achievements they can have. The profile of the jobseekers should

be precisely clear and should be accurate. The updating option allows user to update their profile

accordingly.

Unsubscribe

This option allows the user to forward an application for cancellation of their registration. The

un- subscription can be handled by the administrator. If the employer decide that further no need

the help of the system or user want to revise all kind of information then the company can apply

for cancellation of registration through the unsubscribe option.

ADMINISTRATOR

The administrator module has the controlling power on this particular job site. The main

functions of this module are blocking, view request, searching, update settings, update profile

and mailing facility. Only the administrator can block the user. He can view all type of queries

and through the proper communication with job seeker and employer administrator can control

all the operations. Together all these functions the administrator can manage the role.

Block


28/33

This function is used for blocking the users. Blocking means the cancellation of the registration

of the users. The employers and the job seekers are blocked by the administrator due to some

malpractices raised from the users.

Search

The search can allow the administrator to seek the suitable employers as well as the job seekers.

The available or registered details of both the employers and the job seekers can be viewed and

search according to the purpose. Searching is an important function of administrator and by the

proper searching of posted jobs and registered jobseekers, administrator intimate the jobseekers

about the posted job details as per their qualifications.

Update Profile

This option allows updating the profile for further enhancement. All the updating and the latest

information and interactive data should be in the profile. This should include all the information

about the job site and the profile should be in an interactive format. The profile of the jobseekers

should be precisely clear and should be accurate. The updating option allows user to update their

profile accordingly.

Applicant Agent (AA)- The applicant agent performs the activities of a human agent for job

search and is a key entity in the process. The Applicant Agent primary responsibilities are:

i. Submit search requests in xml data structures based on dynamic user preferences.

ii. Allow configuration of job search importance preference matrix for applicant.

iii. Submit employer rating data.

iv. Allow configuration of salary markup and markdown thresholds.

v. Present search details in a user friendly format.

vi. Pre-populate relevant job application fields on user screen from registration data.


29/33

Job Search Agent (JSA)This agent is the brain behind the job search process and is

equivalent in role to online job search sites, local newspaper and printed media, etc. as it

interacts with employer agents to acquire job listings and also uses fuzzy preference rules and

utility based theorem to select appropriate jobs in accordance with input parameters and settings

meta-data provided by the AA. This agents primary responsibilities include:

i. Dynamically and intelligently adjust search criteria based on fuzzy preference rules when no

match is found from the dynamic SQL sent by the Applicant Agent.

ii. Perform calculation of expected utility for each job result using the employer importance

preference for the specific job as the weighting and the applicant importance preference as the

probability matrix.

iii. Sort in an efficient manner the results by expected utility in descending order (highest to

lowest) and passing the organized results to the applicant agent for presentation to the user.

iv. Perform formal housekeeping for all closed and expired jobs in the form of automated

archiving.

Employer Agent (EA)The employer agent models some actions and responsibilities

performed by the employer. The main activities are:

i. Posting of job vacancies listed by employers

ii. Allow configuration of job importance criteria weightings.

iii. Interact with Job Search Agent to ensure only valid jobs appear in the listings

Implementation Methodology

Job Search Algorithm

The following algorithm was developed based on the system architecture as shown Applicant

starts a Job Search session from the mobile phone and can be registered users and securely login

or unregistered users can search for jobs but must be registered and logged-in to apply for any

job.


30/33

Applicant configures search settings. These settings can be modified at any point in time.

Google maps plugin is used to select location (city, country)

Applicant select additional search parameters such as salary, industry, education, allowances,

rating period, etc.

Criteria and settings from the user interface are pushed by the applicant agent to the job search

agent using customizable job search ontology.

The job search agent builds dynamic queries from constraints and settings and execute on the

database with fuzzy preference rules as below:

If job is available for salary below the minimum salary range within threshold with exact

or closest matching of facilities in the same or different location or parish

If job is available for the salary range specified with exact or closest matching facilities

in the same or different location or parish

If job is not available within the salary range, find a job above the maximum salary

within threshold with exact or closest matching facilities in same or different location or parish

Search agent also finds a job in the same industry with the facilities for any salary in

same or different location or parish

Overall Network Architecture


31/33

Implementation of Security

Security will be implemented at various levels using password protection so the unauthorized use is

discouraged and the system security will also be made fool proof with password question and answer in

case if user forgets his password.

Future Scope and Enhancement of the Project

Job Search is a very involved process that could require hours of interaction with different search

sites, applications, human agents, etc. The developed system intelligently anticipates the needs of

the user and makes intelligent decisions based on fuzzy preference rules and dynamically make

location, salary markup and markdown, and allowances choices that are perceived beneficial to

the user.

This is evident in the results presented in the form of scenarios and supporting screenshots. The

system could be extended to include a secure application process where the applicants

experience and education is verified possibly by including biometric data along with the job


32/33

application details which has been published elsewhere. In addition the job search process could

enhance the calculation of utility by including risk factors of success in choosing one job over

another.

This could enhance the probability of applying for the job that would be most suitable for an

applicant on many levels.

Bibliography

1. Mochol, Malgorzata, Holger Wache, and Lyndon Nixon. "Improving the accuracy of job

search with semantic techniques." Berlin, Germany, 2007

2. Frivolt, Gyorgy, and Maria Bielikov. Improving Job Search by Network of Professions and

Companies. Bratislava, Slovakia: Institute of Informatics and Software Engineering, 2006

3. Sugawara, Kenji. "Agent-Based Application for Supporting Job Matchmaking for

Teleworkers." Second IEEE International Conference on Cognitive Informatics (ICCI'03).

2003. pp. 137

4. Rabin, Matthew. Risk Aversion and Expected-Utility Theory: A calibration Theory. Berkeley

California: Department of Economics, 1999

5. Agulla, Elisardo G, Enrique O Muras, Jose Castro, and Carmen G Mateo. An Open Source

Java Framework for Biometric Web Authentication Based on BioAPI. Vigo, Spain:

Department of Signal Theory and Communications, University of Vigo, 2007.

6. Bogle, Salathiel, and Suresh Sankaranarayanan. "Intelligent Agent based Job Search System

in Android Environment." 2011 IEEE International Conference on Electro/Information

Technology, 2011

7. Franklin, Stan, and Art Graesser. " Is it an Agent, or just a Program?: A Taxonomy for


33/33

Autonomous Agents." Third International Workshop on Agent Theories Architectures and

Languages. Springer-Verlag, 1996.

8. Stuart, Russell J., and Peter Norvig. Artificial Intelligence: A Modern Approach. Englewood

Cliffs, NJ: Prentice Hall, 1995

9. Hayes-Roth, B. "An Architecture for Adaptive Intelligent Systems." Artificial Intelligence:

Special Issue on Agents and Interactivity, 1995: 72, 329-365.

10. Jennings, N. R., and M. Wooldridge. Applications of Intelligent Agents. London: University

of London, 1998.

11. Poole et al. Computational Intelligence. New York: Oxford University, 1998

12. Spanoudakis, Nikolaos, and Pavlos Moraitis. "An Ambient Intelligence Application

Integrating Agent and Service-Oriented Technologies." In Proceedings of SGAI Conference.

Paris, France: Paris Descartes University, 2007. pp.393-398.

13. Addison, J. T., Centeno, M., & Portugal, P. (2004). Key Elasticities in Job Search Theory:

International Evidence.IZA.

Documents

Job Search System in Android Environment