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By : G. H. AHMAD ABBAS
1601-12-862-017
Under the guidance of :
SRI GNR PRASAD
Introduction
 Users are increasingly pursuing complex task-
oriented goals on the Web, such as making travel
arrangements, managing finances or planning
purchases.
 To this end, they usually break down the tasks
into a few co-dependent steps and issue multiple
queries around these steps repeatedly over long
periods of time.
 To better support users in their long-term
information quests on the Web, search engines
keep track of their queries and clicks while
searching online. We propose a more robust
approach that leverages search query logs
EXISTING SYSTEM
In this, query groups are identified by treating
every query in a user’s history as a singleton
query group, and then merge these singleton
groups in an iterative fashion. However, this
is impractical for two reasons. First, it may
have the undesirable effect of changing a
user’s existing query groups, potentially
undoing the user’s own manual efforts in
organizing history. Second, it involves a high
computational cost, since it would have to
repeat a large number of query group
similarity computations for every new query.
 The existing system motivated a method to
perform query grouping in a dynamic fashion in
order to ensure good performance while avoiding
disruption of existing user-defined query groups.
 The method shows how signals from search logs
such as clicks can be used together to determine
the relevance among query groups. Two potential
ways of using clicks in order to enhance this
process (1) by adding the queries into query set by
text similarity (2) by expanding the query set when
computing relevance to other queries with similar
clicked URLs.
PROJECT SCOPE :
1. Organize user search histories in the
form of groups.
2. Query suggestions to user for
respective query entered.
3. Dynamic Grouping of user search
history.
4. Result ranking of query
suggestions.
OBJECTIVES :
Implement a full fledged user history
organizer and handler that allow you
to organize user history and can
perform various operations such as
view previous, recent histories, and
search financial related data.
FEASIBLITY STUDY
 Preliminary investigation examines project feasibility;
the likelihood the system will be useful to the
organization. The main objective of the feasibility
study is to test the Technical, Operational and
Economical feasibility for adding new modules and
debugging old running system. All systems are
feasible if they are given unlimited resources and
infinite time. There are aspects in the feasibility study
portion of the preliminary investigation
 Technical Feasibility
 Operation Feasibility
 Economical Feasibility
System Architecture
Login with
username
and
password
Is
Correct?
N
O
User Enters
Search
Query
Is
Admin?
Upload
New
Results
Query
Grouping
and Result
Display using
groups
YES
N
O
YES
1.
2.
3.
4.
5.
6.
7.
Add Financial Details
View Groups
Login
Registered User
System Admin
Change Password
Register
View Recent History
Unregistered User
Search Financial Data
CLASS DIAGRAM
ER DIAGRAM :
Financial
User
Admin
Password Username
Url
User
Mobile
History
Date
Time
Description
Query
PasswordUsername
Group
Title
Email
Group Title
Url
Searches
Organizes
Maintains Contains
Different Modules of the
System
The system is proposed to have the
following modules :
1. Admin Module
2. Registered User module
3. Unregistered User module
ADMIN MODULE
 Admin is allowed to
add financial details into
financial table, view user
details, delete users, and
view groups. The admin
must already have a user
id and password to login.
REGISTERED USER MODULE
•Registered user is allowed to view his previous
and recent history and search financial related
details.
•The registered user must already have a user id
and password to login.
Unregistered User module
Unregistered user is
allowed to view recent
history and search
financial related
details.
SOFTWARE AND HARDWARE
REQUIREMENTS
Software Requirements :
Operating System :Windows95/98/2000/XP
Application Server :Tomcat5.0/6.X
Front End : HTML, Java, JSP
Scripts : JavaScript.
Server side Script : Java Server Pages.
Database Connectivity : Mysql.
Hardware Requirements :
Processor : Pentium –III
Speed : 1.1 Ghz
RAM : 256 MB(min)
Hard Disk : 20 GB
WHY THIS TECHNOLOGY IS CHOSEN ?
 Simple
 Object-Oriented
 Platform Independent
 secured
 Robust
 Architecture Neutral
 Portable
 High Performance
 Distributed
 Multi-threaded
 We show how such information can be used
effectively for the task of organizing user
search histories into query groups. As future
work, we intend to investigate the usefulness
of the knowledge gained from these query
groups in various applications such as
providing query suggestions and biasing the
ranking of search results.
Ahmad Abbas Khan…
Thank you…

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ORGANIZING USER SEARCH HISTORIES

  • 1. By : G. H. AHMAD ABBAS 1601-12-862-017 Under the guidance of : SRI GNR PRASAD
  • 2. Introduction  Users are increasingly pursuing complex task- oriented goals on the Web, such as making travel arrangements, managing finances or planning purchases.  To this end, they usually break down the tasks into a few co-dependent steps and issue multiple queries around these steps repeatedly over long periods of time.  To better support users in their long-term information quests on the Web, search engines keep track of their queries and clicks while searching online. We propose a more robust approach that leverages search query logs
  • 3. EXISTING SYSTEM In this, query groups are identified by treating every query in a user’s history as a singleton query group, and then merge these singleton groups in an iterative fashion. However, this is impractical for two reasons. First, it may have the undesirable effect of changing a user’s existing query groups, potentially undoing the user’s own manual efforts in organizing history. Second, it involves a high computational cost, since it would have to repeat a large number of query group similarity computations for every new query.
  • 4.  The existing system motivated a method to perform query grouping in a dynamic fashion in order to ensure good performance while avoiding disruption of existing user-defined query groups.  The method shows how signals from search logs such as clicks can be used together to determine the relevance among query groups. Two potential ways of using clicks in order to enhance this process (1) by adding the queries into query set by text similarity (2) by expanding the query set when computing relevance to other queries with similar clicked URLs.
  • 5. PROJECT SCOPE : 1. Organize user search histories in the form of groups. 2. Query suggestions to user for respective query entered. 3. Dynamic Grouping of user search history. 4. Result ranking of query suggestions.
  • 6. OBJECTIVES : Implement a full fledged user history organizer and handler that allow you to organize user history and can perform various operations such as view previous, recent histories, and search financial related data.
  • 7. FEASIBLITY STUDY  Preliminary investigation examines project feasibility; the likelihood the system will be useful to the organization. The main objective of the feasibility study is to test the Technical, Operational and Economical feasibility for adding new modules and debugging old running system. All systems are feasible if they are given unlimited resources and infinite time. There are aspects in the feasibility study portion of the preliminary investigation  Technical Feasibility  Operation Feasibility  Economical Feasibility
  • 8. System Architecture Login with username and password Is Correct? N O User Enters Search Query Is Admin? Upload New Results Query Grouping and Result Display using groups YES N O YES 1. 2. 3. 4. 5. 6. 7.
  • 9. Add Financial Details View Groups Login Registered User System Admin Change Password Register View Recent History Unregistered User Search Financial Data
  • 11. ER DIAGRAM : Financial User Admin Password Username Url User Mobile History Date Time Description Query PasswordUsername Group Title Email Group Title Url Searches Organizes Maintains Contains
  • 12. Different Modules of the System The system is proposed to have the following modules : 1. Admin Module 2. Registered User module 3. Unregistered User module
  • 13. ADMIN MODULE  Admin is allowed to add financial details into financial table, view user details, delete users, and view groups. The admin must already have a user id and password to login.
  • 14. REGISTERED USER MODULE •Registered user is allowed to view his previous and recent history and search financial related details. •The registered user must already have a user id and password to login.
  • 15. Unregistered User module Unregistered user is allowed to view recent history and search financial related details.
  • 16. SOFTWARE AND HARDWARE REQUIREMENTS Software Requirements : Operating System :Windows95/98/2000/XP Application Server :Tomcat5.0/6.X Front End : HTML, Java, JSP Scripts : JavaScript. Server side Script : Java Server Pages. Database Connectivity : Mysql. Hardware Requirements : Processor : Pentium –III Speed : 1.1 Ghz RAM : 256 MB(min) Hard Disk : 20 GB
  • 17. WHY THIS TECHNOLOGY IS CHOSEN ?  Simple  Object-Oriented  Platform Independent  secured  Robust  Architecture Neutral  Portable  High Performance  Distributed  Multi-threaded
  • 18.  We show how such information can be used effectively for the task of organizing user search histories into query groups. As future work, we intend to investigate the usefulness of the knowledge gained from these query groups in various applications such as providing query suggestions and biasing the ranking of search results.