Matrix Factorization and Personalizing Search in php

 

Matrix Factorization and Personalizing Search in php

 

 PROJECT ID: PHP07

 

PROJECT NAME: Matrix Factorization and Personalizing Search

 

PROJECT CATEGORY: MCA / BCA / BCCA / MCM / POLY / ENGINEERING

 

PROJECT ABSTRACT:

The availability of web search has revolutionized the way people discover information, yet as search services maintain larger and larger indexes they are in danger of becoming a victim of their own success.

Many common searches can return a vast number of web pages, many of which will be irrelevant to the searcher, and of which only about ten or twenty of the top-ranked results will be browsed.

The problem is that while pages returned by a search may be relevant to the keywords entered, the keywords generally give only a partial expression of the searcher's information need.

Personalized web search takes keywords from the user as an expression of their information need, and delivers the results from personalized indexing server of their community or organization to assist in determining the relevance of pages

Low precision searches:

The vast majority of publicly available search engines adopt a so-called query-list paradigm , whereby in response to a user's query the search engine returns a linear ranking of documents matching that query.

The higher on the list, the more relevant to the query the document is supposed to be. While this approach works efficiently for well-defined narrow queries, when the query is too general, the users may have to sift through a large number of irrelevant documents in order to identify the ones they were interested in.

This kind of situation is commonly referred to as a low precision search .

As more than 60% of web queries consist of one or two words, which inevitably leads to a large number of low precision searches. Several methods of dealing with the results of such searches have been proposed.

One method is pruning of the result list, ranging from simple duplicate removal to advanced Artificial Intelligence algorithms. The most common approach, however, is relevance feedback , whereby the search engine assists the user in finding additional key words that would make the query more precise and reduce the number of returned documents. An alternative and increasingly popular method is also search results clustering

 

SOFTWARE REQUIREMENTS:

·        Front End – PHP

·        Back End – MySQL 5.0

·        Server – Apache Server 2.0

·        Design Tool – Macromedia Dreamweaver 8.0

·        Documentation Tools – Microsoft Word

HARDWARE REQUIREMENTS:

·        233 MHz processor.

·        128 MB SD-RAM

·        2 – 4 GB Hard-Disk.

·        4x Compact Disk drive or quicker.

·        1.44 MB Floppy Disk Drive.

·        Monitor. [ 640 x 480 Display

 

TABLE OF CONTENTS

·        Title Page      

·        Declaration

·        Certification Page

·        Dedication

·        Acknowledgements

·        Table of Contents

·        List of Tables

·        Abstract

 

CHAPTER SCHEME

CHAPTER ONE: INTRODUCTION

CHAPTER TWO: OBJECTIVES

CHAPTER THREE: PRELIMINARY SYSTEM ANALYSIS

·         Preliminary Investigation

·         Present System in Use

·         Flaws In Present System

·         Need Of New System

·         Feasibility Study

·         Project  Category

CHAPTER FOUR: SOFTWARE ENGINEERING AND PARADIGM APPLIED   

·         Modules

·         System / Module Chart

CHAPTER FIVE: SOFTWARE AND HARDWARE REQUIREMENT

CHAPTER SIX: DETAIL SYSTEM ANALYSIS

·         Data Flow Diagram

·         Number of modules and Process Logic

·         Data Structures  and Tables

·         Entity- Relationship Diagram

·         System Design

·         Form Design 

·         Source Code

·         Input Screen and Output Screen

CHAPTER SEVEN: TESTING AND VALIDATION CHECK

CHAPTER EIGHT: SYSTEM SECURITY MEASURES

CHAPTER NINE: IMPLEMENTATION, EVALUATION & MAINTENANCE

CHAPTER TEN: FUTURE SCOPE OF THE PROJECT

CHAPTER ELEVEN: SUGGESTION AND CONCLUSION

CHAPTER TWELE: BIBLIOGRAPHY& REFERENCES          

Other Information

 

PROJECT SOFWARE	ZIP
PROJECT REPORT PAGE	60 -80 Pages
CAN BE USED IN	Marketing (MBA)
PROJECT COST	1500/- Only
PDF SYNOPSIS COST	250/- Only
PPT PROJECT COST	300/- Only
PROJECT WITH SPIRAL BINDING	1750/- Only
PROJECT WITH HARD BINDING	1850/- Only
TOTAL COST (SYNOPSIS, SOFTCOPY, HARDBOOK, and SOFTWARE, PPT)	2500/- Only
DELIVERY TIME	1 OR 2 Days (In case Urgent Call: 8830288685)
SUPPORT / QUERY	www.projectsready.in
CALL	8830288685
Email	help@projectsready.in
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