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(DR. BABASAHEB AMBEDKAR TECHNOLOGICAL UNIVERSITY, LONERE(2022-23)
RAJIV GANDHI COLLEGE OF ENGINEERING, RESEARCH & TECHNOLOGY, CHANDRAPUR
SEMINAR REPORT
ON
“Web Clustering Engines”
Submitted
By
Prajwal Dilip Kamble
Roll No: CSEA347
SEMISTER- III SECOND YEAR
BTCOS347 Seminar –I
Seminar Incharge
Prof. R. V. Lichode
Guided By:
Prof.Ravi Chibule
Dr. Nitin Janwe
HOD, CSE & IT
RAJIV GANDHI COLLEGE OF ENGINEERING, RESEARCH & TECHNOLOGY,
CHANDRAPUR
(DR. BABASAHEB AMBEDKAR TECHNOLOGICAL UNIVERSITY, LONERE)
(2022-23)
CERTIFICATE
This is to certify that, Mr. Prajwal Dilip Kamble , Roll
No. CSEA347 studying in B. E. Third semester
Computer Science and Engineering in the session
2022-2023, has successfully completed seminar-I on
“Web Clustering Engine” satisfactorily during the
academic session 2022-2023 from CSE, RCERT,
Chandrapur.
Seminar Incharge
Prof. R. V. Lichode
Guided By:
Prof. Ravi Chibule
Dr. Nitin Janwe
HOD, CSE & IT
Web Clustering Engines
CONTENTS:
‱ Abstract
‱ Introduction
‱ Search engine
‱ Why web clustering engine
‱ Main Advantages of cluster hierarchy
‱ Issues in implementation of cluster
‱ Architecture
‱ How to represent Feature/text ?
‱ Data Centric clustering algorithm
‱ Conclusion
Abstract
 Web clustering Engines are emerging trend in the field of information
retrieval. They organize search results by topic, thus offering a
complementary view to the flat ranked list returned by the conventional
search engines.
 The search results returned by traditional search engines on different
subtopics or meanings of a query will be mixed together in the list so that the
user may have to sift through a large number of irrelevant items to locate
those of interest. The Web clustering engines categorize the search results
into different hierarchical groups/clusters and display those cluster labels.
Introduction
 Web Clustering Engines organize search results by topic, thus offering a
complementary view to the flat ranked list returned by the conventional
search engines.
Search Engine
 A search engine is a software system designed to carry out web searches. They search the
World Wide Web in a systematic way for particular information specified in a textual web search
query. The search results are generally presented in a line of results, often referred to as search
engine results pages.
 A search engine is a software program that helps people find the information
they are looking for online using keywords or phrases.
Search engine
‱ Search engine is a website
‱ Help user to find information on world wide Web.
‱ Archie is a first search engine
‱ 1970 Archie stablish is a world first search engine
‱ The most used search engine is a Google
‱ Google is invented is 1997 , google is a one of the most
famous search engine.
Why web clustering engine?
 Conventional engines are not much efficient in ambiguous queries
 The search results returned by conventional search engines on query will be
mixed together in the list, irrelevant item occurs.
 In this context of search result come into picture!
Main advantages of cluster hierarchy
 It makes for shortcuts to the items that relate to the same meaning
 It allows better topic understanding
 It favors systematic exploration of search results.
Issues in implementation of clusters
 Short input description
 Meaningful labels
 Selection of similar measure
 Grouping of objects into clusters
 Computation efficiency
Architecture
‱ Practical implementations of Web search clustering engines will usually consist of four
general components: search results acquisition, input preprocessing, cluster
construction, and visualization of clustered results
Search result acquisition
 The task of search result acquisition is to provide input for the rest of system.
 Based on the query, the acquisition component must deliver 50 to 500 results,
each of which should contain
 -Contextual snippet
 Title URL pointing to the full text being referred to
 The source of search results can be any public search engines such as ggoogle
yahoo etc.
 The most elegant way of searching results from search engines is by using
application programming interfaces (APIs) these engines provide.
Conclusion
 Web clustering engines organize search results by topic thus offering a
complimentary view to the flat-ranked list returned by conventional search
engines.
 Due to lack of efficient methods of performance evaluation of clustering
engines they are not seeking the attention of the people.
THANK YOU

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PPT Web Clustering Engine.pptx

  • 1. (DR. BABASAHEB AMBEDKAR TECHNOLOGICAL UNIVERSITY, LONERE(2022-23) RAJIV GANDHI COLLEGE OF ENGINEERING, RESEARCH & TECHNOLOGY, CHANDRAPUR SEMINAR REPORT ON “Web Clustering Engines” Submitted By Prajwal Dilip Kamble Roll No: CSEA347 SEMISTER- III SECOND YEAR BTCOS347 Seminar –I Seminar Incharge Prof. R. V. Lichode Guided By: Prof.Ravi Chibule Dr. Nitin Janwe HOD, CSE & IT
  • 2. RAJIV GANDHI COLLEGE OF ENGINEERING, RESEARCH & TECHNOLOGY, CHANDRAPUR (DR. BABASAHEB AMBEDKAR TECHNOLOGICAL UNIVERSITY, LONERE) (2022-23) CERTIFICATE This is to certify that, Mr. Prajwal Dilip Kamble , Roll No. CSEA347 studying in B. E. Third semester Computer Science and Engineering in the session 2022-2023, has successfully completed seminar-I on “Web Clustering Engine” satisfactorily during the academic session 2022-2023 from CSE, RCERT, Chandrapur. Seminar Incharge Prof. R. V. Lichode Guided By: Prof. Ravi Chibule Dr. Nitin Janwe HOD, CSE & IT
  • 4. CONTENTS: ‱ Abstract ‱ Introduction ‱ Search engine ‱ Why web clustering engine ‱ Main Advantages of cluster hierarchy ‱ Issues in implementation of cluster ‱ Architecture ‱ How to represent Feature/text ? ‱ Data Centric clustering algorithm ‱ Conclusion
  • 5. Abstract  Web clustering Engines are emerging trend in the field of information retrieval. They organize search results by topic, thus offering a complementary view to the flat ranked list returned by the conventional search engines.  The search results returned by traditional search engines on different subtopics or meanings of a query will be mixed together in the list so that the user may have to sift through a large number of irrelevant items to locate those of interest. The Web clustering engines categorize the search results into different hierarchical groups/clusters and display those cluster labels.
  • 6. Introduction  Web Clustering Engines organize search results by topic, thus offering a complementary view to the flat ranked list returned by the conventional search engines.
  • 7. Search Engine  A search engine is a software system designed to carry out web searches. They search the World Wide Web in a systematic way for particular information specified in a textual web search query. The search results are generally presented in a line of results, often referred to as search engine results pages.  A search engine is a software program that helps people find the information they are looking for online using keywords or phrases.
  • 8. Search engine ‱ Search engine is a website ‱ Help user to find information on world wide Web. ‱ Archie is a first search engine ‱ 1970 Archie stablish is a world first search engine ‱ The most used search engine is a Google ‱ Google is invented is 1997 , google is a one of the most famous search engine.
  • 9. Why web clustering engine?  Conventional engines are not much efficient in ambiguous queries  The search results returned by conventional search engines on query will be mixed together in the list, irrelevant item occurs.  In this context of search result come into picture!
  • 10. Main advantages of cluster hierarchy  It makes for shortcuts to the items that relate to the same meaning  It allows better topic understanding  It favors systematic exploration of search results.
  • 11. Issues in implementation of clusters  Short input description  Meaningful labels  Selection of similar measure  Grouping of objects into clusters  Computation efficiency
  • 12. Architecture ‱ Practical implementations of Web search clustering engines will usually consist of four general components: search results acquisition, input preprocessing, cluster construction, and visualization of clustered results
  • 13. Search result acquisition  The task of search result acquisition is to provide input for the rest of system.  Based on the query, the acquisition component must deliver 50 to 500 results, each of which should contain  -Contextual snippet  Title URL pointing to the full text being referred to  The source of search results can be any public search engines such as ggoogle yahoo etc.  The most elegant way of searching results from search engines is by using application programming interfaces (APIs) these engines provide.
  • 14. Conclusion  Web clustering engines organize search results by topic thus offering a complimentary view to the flat-ranked list returned by conventional search engines.  Due to lack of efficient methods of performance evaluation of clustering engines they are not seeking the attention of the people.