SEARCH OPTIMIZER By JAGANI RAJ 7 th /I.T. Guided By: Mrs. Darshana H. Patel

AGENDA  Search Engine  Importance  Problems in Current System  Search Optimizer  Technology  Use Case Diagrams  Coding Standard  Technical Process Plans  Implementation  Future Enhancement

SEARCH ENGINE  A search engine is a computer program that locates information in its database that “best” matches a query.  The World Wide Web itself is a database that hasn’t been adequately indexed.

IMPORTANCE  Wealth of information available on the Internet.  increase profits for B2B marketers.  The Role of Search in Business to Business Buying Decisions.  B2B purchase, 93.2 percent said they would research the purchase online.

PROBLEMS IN CURRENT SYSTEM  No comparison of results are bigger problem.  No easy advanced search technique.  No search record maintain.  Waste of time in searching.

SEARCH OPTIMIZER  Type the keyword once time and search it on different search engine.  Provide multiple search engine facility into one single website  Provide two search engine results parallel  Provide easy search technique  User search record is maintained

TECHNOLOGY  Technology to be used :- Front End :.NET Back End: SQL Service database

USE CASE DIAGRAM

CODING STANDARD  3-tier Architecture:  As per industry coding style we have used 3-tier architecture system for our coding.  We separated the Data Class file & Business Class file to reduce the code complexity.

 SECURITY FEATURES SQL Injection :  User Name:‘1’ OR ‘1’ = ‘1’  Password:‘1’ OR ‘1’ = ‘1’ How to stop?  Stored Procedure IMPLEMENTATION

 Home Page :- IMPLEMENTATION

WEB SEARCH RESULT

IMAGE SEARCH RESULT

NEWS SEARCH RESULT

VIDEO SEARCH RESULT

PDF RESULT

SEARCH HISTORY

ADMIN PANEL

CMS EDITER

 Right now we providing only two search engine in future we can extend it to more than two search engine.  In advanced search technique we can put more specific format as we get queries for that.  We are maintain user search history so based on that we can more filter out the user search result, showing the first visited results for the same search by user. FUTURE WORK