SlideShare ist ein Scribd-Unternehmen logo

probabilistic ranking

‱Als PPT, PDF herunterladen‱
‱
F
FELIX75
Technologie
1 von 26
Ranking of Database Query Results Nitesh Maan, Arujn Saraswat, Nishant Kapoor
Introduction ,[object Object],[object Object]
Ranking and databases ,[object Object],[object Object]
[object Object]
[object Object],[object Object],[object Object]
The Empty Answers Problem ,[object Object],[object Object]
Automated Ranking Functions ,[object Object],[object Object]
Automated Ranking functions for the ‘Empty Answers Problem’ ,[object Object],[object Object],[object Object]
IDF Similarity ,[object Object]
IDF Similarity, formal definition ,[object Object],[object Object],[object Object],[object Object],[object Object]
QF Similarity – leveraging workloads ,[object Object],[object Object]
QFIDF Similarity ,[object Object],[object Object]
Breaking ties
. ,[object Object],[object Object],[object Object]
Many Answers Problem ,[object Object],[object Object],[object Object]
Basic Approach ,[object Object],[object Object]
Ranking function for Many Answers Problem ,[object Object],[object Object],[object Object]
Ranking Function: Adaptation of PIR Models for Structured Data ,[object Object]
Problem in adapting this approach ,[object Object],[object Object],[object Object]
The ranking formula ,[object Object],[object Object],[object Object],[object Object]
Architecture of Ranking System Detailed Architecture of the Ranking System
Implementation ,[object Object],[object Object],[object Object]
Implementation ,[object Object],[object Object]
The Index Module ,[object Object],[object Object],[object Object],[object Object]
Query Processing Component ,[object Object],[object Object]
Space Requirements ,[object Object],[object Object],[object Object]
What’s Next
.. ,[object Object],[object Object]

Empfohlen

probabilistic ranking
probabilistic rankingprobabilistic ranking
probabilistic ranking
FELIX75
 
Query optimization to improve performance of the code execution
Query optimization to improve performance of the code executionQuery optimization to improve performance of the code execution
Query optimization to improve performance of the code execution
Alexander Decker
 
11.query optimization to improve performance of the code execution
11.query optimization to improve performance of the code execution11.query optimization to improve performance of the code execution
11.query optimization to improve performance of the code execution
Alexander Decker
 
Distributed DBMS - Unit 2 - Overview of RDBMS
Distributed DBMS - Unit 2 - Overview of RDBMSDistributed DBMS - Unit 2 - Overview of RDBMS
Distributed DBMS - Unit 2 - Overview of RDBMS
Gyanmanjari Institute Of Technology
 
FINAL REVIEW
FINAL REVIEWFINAL REVIEW
FINAL REVIEW
samuelrajueda
 
Nose Dive into Apache Spark ML
Nose Dive into Apache Spark MLNose Dive into Apache Spark ML
Nose Dive into Apache Spark ML
Ahmet Bulut
 
Database API Viewed as a Mathematical Function, Insights into Testing
Database API Viewed as a Mathematical Function, Insights into TestingDatabase API Viewed as a Mathematical Function, Insights into Testing
Database API Viewed as a Mathematical Function, Insights into Testing
Brendan Furey
 
Feature Extraction for Large-Scale Text Collections
Feature Extraction for Large-Scale Text CollectionsFeature Extraction for Large-Scale Text Collections
Feature Extraction for Large-Scale Text Collections
Sease
 

Empfohlen

probabilistic ranking
probabilistic rankingprobabilistic ranking
probabilistic ranking
FELIX75
 
Query optimization to improve performance of the code execution
Query optimization to improve performance of the code executionQuery optimization to improve performance of the code execution
Query optimization to improve performance of the code execution
Alexander Decker
 
11.query optimization to improve performance of the code execution
11.query optimization to improve performance of the code execution11.query optimization to improve performance of the code execution
11.query optimization to improve performance of the code execution
Alexander Decker
 
Distributed DBMS - Unit 2 - Overview of RDBMS
Distributed DBMS - Unit 2 - Overview of RDBMSDistributed DBMS - Unit 2 - Overview of RDBMS
Distributed DBMS - Unit 2 - Overview of RDBMS
Gyanmanjari Institute Of Technology
 
FINAL REVIEW
FINAL REVIEWFINAL REVIEW
FINAL REVIEW
samuelrajueda
 
Nose Dive into Apache Spark ML
Nose Dive into Apache Spark MLNose Dive into Apache Spark ML
Nose Dive into Apache Spark ML
Ahmet Bulut
 
Database API Viewed as a Mathematical Function, Insights into Testing
Database API Viewed as a Mathematical Function, Insights into TestingDatabase API Viewed as a Mathematical Function, Insights into Testing
Database API Viewed as a Mathematical Function, Insights into Testing
Brendan Furey
 
Feature Extraction for Large-Scale Text Collections
Feature Extraction for Large-Scale Text CollectionsFeature Extraction for Large-Scale Text Collections
Feature Extraction for Large-Scale Text Collections
Sease
 
Presentation
PresentationPresentation
Presentation
butest
 
Rated Ranking Evaluator (FOSDEM 2019)
Rated Ranking Evaluator (FOSDEM 2019)Rated Ranking Evaluator (FOSDEM 2019)
Rated Ranking Evaluator (FOSDEM 2019)
Andrea Gazzarini
 
Search Quality Evaluation to Help Reproducibility: An Open-source Approach
Search Quality Evaluation to Help Reproducibility: An Open-source ApproachSearch Quality Evaluation to Help Reproducibility: An Open-source Approach
Search Quality Evaluation to Help Reproducibility: An Open-source Approach
Alessandro Benedetti
 
Haystack London - Search Quality Evaluation, Tools and Techniques
Haystack London - Search Quality Evaluation, Tools and Techniques Haystack London - Search Quality Evaluation, Tools and Techniques
Haystack London - Search Quality Evaluation, Tools and Techniques
Andrea Gazzarini
 
Feature Selection for Document Ranking
Feature Selection for Document RankingFeature Selection for Document Ranking
Feature Selection for Document Ranking
Andrea Gigli
 
Query optimization
Query optimizationQuery optimization
Query optimization
Pooja Dixit
 
Evolving the Optimal Relevancy Ranking Model at Dice.com
Evolving the Optimal Relevancy Ranking Model at Dice.comEvolving the Optimal Relevancy Ranking Model at Dice.com
Evolving the Optimal Relevancy Ranking Model at Dice.com
Simon Hughes
 
Coling2014:Single Document Keyphrase Extraction Using Label Information
Coling2014:Single Document Keyphrase Extraction Using Label InformationColing2014:Single Document Keyphrase Extraction Using Label Information
Coling2014:Single Document Keyphrase Extraction Using Label Information
Ryuchi Tachibana
 
Hybrid Knowledge Bases for Real-Time Robotic Reasoning
Hybrid Knowledge Bases for Real-Time Robotic ReasoningHybrid Knowledge Bases for Real-Time Robotic Reasoning
Hybrid Knowledge Bases for Real-Time Robotic Reasoning
Hassan Rifky
 
Recommendation Engine Powered by Hadoop
Recommendation Engine Powered by HadoopRecommendation Engine Powered by Hadoop
Recommendation Engine Powered by Hadoop
Pranab Ghosh
 
Analysis of the “KDD Cup-1999” Datasets
Analysis of the “KDD Cup-1999” DatasetsAnalysis of the “KDD Cup-1999” Datasets
Analysis of the “KDD Cup-1999” Datasets
Rafsanjani, Muhammod
 
Analysis of the Datasets
Analysis of the DatasetsAnalysis of the Datasets
Analysis of the Datasets
Rafsanjani, Muhammod
 
Attribute Reduction:An Implementation of Heuristic Algorithm using Apache Spark
Attribute Reduction:An Implementation of Heuristic Algorithm using Apache SparkAttribute Reduction:An Implementation of Heuristic Algorithm using Apache Spark
Attribute Reduction:An Implementation of Heuristic Algorithm using Apache Spark
IRJET Journal
 
Optimized Access Strategies for a Distributed Database Design
Optimized Access Strategies for a Distributed Database DesignOptimized Access Strategies for a Distributed Database Design
Optimized Access Strategies for a Distributed Database Design
Waqas Tariq
 
Dice.com Bay Area Search - Beyond Learning to Rank Talk
Dice.com Bay Area Search - Beyond Learning to Rank TalkDice.com Bay Area Search - Beyond Learning to Rank Talk
Dice.com Bay Area Search - Beyond Learning to Rank Talk
Simon Hughes
 
Top-K Dominating Queries on Incomplete Data with Priorities
Top-K Dominating Queries on Incomplete Data with PrioritiesTop-K Dominating Queries on Incomplete Data with Priorities
Top-K Dominating Queries on Incomplete Data with Priorities
ijtsrd
 
Haystacks slides
Haystacks slidesHaystacks slides
Haystacks slides
Ted Sullivan
 
A Study on Optimization of Top-k Queries in Relational Databases
A Study on Optimization of Top-k Queries in Relational DatabasesA Study on Optimization of Top-k Queries in Relational Databases
A Study on Optimization of Top-k Queries in Relational Databases
IOSR Journals
 
Search Accuracy Metrics and Predictive Analytics - A Big Data Use Case: Prese...
Search Accuracy Metrics and Predictive Analytics - A Big Data Use Case: Prese...Search Accuracy Metrics and Predictive Analytics - A Big Data Use Case: Prese...
Search Accuracy Metrics and Predictive Analytics - A Big Data Use Case: Prese...
Lucidworks
 
Research Inventy : International Journal of Engineering and Science
Research Inventy : International Journal of Engineering and ScienceResearch Inventy : International Journal of Engineering and Science
Research Inventy : International Journal of Engineering and Science
inventy
 
Chapter 16 ppt eval & testing 4e formatted 01.10 kg edits
Chapter 16 ppt eval & testing 4e formatted 01.10 kg editsChapter 16 ppt eval & testing 4e formatted 01.10 kg edits
Chapter 16 ppt eval & testing 4e formatted 01.10 kg edits
stanbridge
 
Interpretation of Assessment Results
Interpretation of Assessment ResultsInterpretation of Assessment Results
Interpretation of Assessment Results
Rica Joy Pontilar
 

Weitere Àhnliche Inhalte

Was ist angesagt?

Presentation
PresentationPresentation
Presentation
butest
 
Rated Ranking Evaluator (FOSDEM 2019)
Rated Ranking Evaluator (FOSDEM 2019)Rated Ranking Evaluator (FOSDEM 2019)
Rated Ranking Evaluator (FOSDEM 2019)
Andrea Gazzarini
 
Search Quality Evaluation to Help Reproducibility: An Open-source Approach
Search Quality Evaluation to Help Reproducibility: An Open-source ApproachSearch Quality Evaluation to Help Reproducibility: An Open-source Approach
Search Quality Evaluation to Help Reproducibility: An Open-source Approach
Alessandro Benedetti
 
Hybrid Knowledge Bases for Real-Time Robotic Reasoning
Hybrid Knowledge Bases for Real-Time Robotic ReasoningHybrid Knowledge Bases for Real-Time Robotic Reasoning
Hybrid Knowledge Bases for Real-Time Robotic Reasoning
Hassan Rifky
 
Recommendation Engine Powered by Hadoop
Recommendation Engine Powered by HadoopRecommendation Engine Powered by Hadoop
Recommendation Engine Powered by Hadoop
Pranab Ghosh
 
Optimized Access Strategies for a Distributed Database Design
Optimized Access Strategies for a Distributed Database DesignOptimized Access Strategies for a Distributed Database Design
Optimized Access Strategies for a Distributed Database Design
Waqas Tariq
 
Top-K Dominating Queries on Incomplete Data with Priorities
Top-K Dominating Queries on Incomplete Data with PrioritiesTop-K Dominating Queries on Incomplete Data with Priorities
Top-K Dominating Queries on Incomplete Data with Priorities
ijtsrd
 
Search Accuracy Metrics and Predictive Analytics - A Big Data Use Case: Prese...
Search Accuracy Metrics and Predictive Analytics - A Big Data Use Case: Prese...Search Accuracy Metrics and Predictive Analytics - A Big Data Use Case: Prese...
Search Accuracy Metrics and Predictive Analytics - A Big Data Use Case: Prese...
Lucidworks
 
Research Inventy : International Journal of Engineering and Science
Research Inventy : International Journal of Engineering and ScienceResearch Inventy : International Journal of Engineering and Science
Research Inventy : International Journal of Engineering and Science
inventy
 

Was ist angesagt? (20)

Presentation
PresentationPresentation
Presentation
 
Rated Ranking Evaluator (FOSDEM 2019)
Rated Ranking Evaluator (FOSDEM 2019)Rated Ranking Evaluator (FOSDEM 2019)
Rated Ranking Evaluator (FOSDEM 2019)
 
Search Quality Evaluation to Help Reproducibility: An Open-source Approach
Search Quality Evaluation to Help Reproducibility: An Open-source ApproachSearch Quality Evaluation to Help Reproducibility: An Open-source Approach
Search Quality Evaluation to Help Reproducibility: An Open-source Approach
 
Haystack London - Search Quality Evaluation, Tools and Techniques
Haystack London - Search Quality Evaluation, Tools and Techniques Haystack London - Search Quality Evaluation, Tools and Techniques
Haystack London - Search Quality Evaluation, Tools and Techniques
 
Feature Selection for Document Ranking
Feature Selection for Document RankingFeature Selection for Document Ranking
Feature Selection for Document Ranking
 
Query optimization
Query optimizationQuery optimization
Query optimization
 
Evolving the Optimal Relevancy Ranking Model at Dice.com
Evolving the Optimal Relevancy Ranking Model at Dice.comEvolving the Optimal Relevancy Ranking Model at Dice.com
Evolving the Optimal Relevancy Ranking Model at Dice.com
 
Coling2014:Single Document Keyphrase Extraction Using Label Information
Coling2014:Single Document Keyphrase Extraction Using Label InformationColing2014:Single Document Keyphrase Extraction Using Label Information
Coling2014:Single Document Keyphrase Extraction Using Label Information
 
Hybrid Knowledge Bases for Real-Time Robotic Reasoning
Hybrid Knowledge Bases for Real-Time Robotic ReasoningHybrid Knowledge Bases for Real-Time Robotic Reasoning
Hybrid Knowledge Bases for Real-Time Robotic Reasoning
 
Recommendation Engine Powered by Hadoop
Recommendation Engine Powered by HadoopRecommendation Engine Powered by Hadoop
Recommendation Engine Powered by Hadoop
 
Analysis of the “KDD Cup-1999” Datasets
Analysis of the “KDD Cup-1999” DatasetsAnalysis of the “KDD Cup-1999” Datasets
Analysis of the “KDD Cup-1999” Datasets
 
Analysis of the Datasets
Analysis of the DatasetsAnalysis of the Datasets
Analysis of the Datasets
 
Attribute Reduction:An Implementation of Heuristic Algorithm using Apache Spark
Attribute Reduction:An Implementation of Heuristic Algorithm using Apache SparkAttribute Reduction:An Implementation of Heuristic Algorithm using Apache Spark
Attribute Reduction:An Implementation of Heuristic Algorithm using Apache Spark
 
Optimized Access Strategies for a Distributed Database Design
Optimized Access Strategies for a Distributed Database DesignOptimized Access Strategies for a Distributed Database Design
Optimized Access Strategies for a Distributed Database Design
 
Dice.com Bay Area Search - Beyond Learning to Rank Talk
Dice.com Bay Area Search - Beyond Learning to Rank TalkDice.com Bay Area Search - Beyond Learning to Rank Talk
Dice.com Bay Area Search - Beyond Learning to Rank Talk
 
Top-K Dominating Queries on Incomplete Data with Priorities
Top-K Dominating Queries on Incomplete Data with PrioritiesTop-K Dominating Queries on Incomplete Data with Priorities
Top-K Dominating Queries on Incomplete Data with Priorities
 
Haystacks slides
Haystacks slidesHaystacks slides
Haystacks slides
 
A Study on Optimization of Top-k Queries in Relational Databases
A Study on Optimization of Top-k Queries in Relational DatabasesA Study on Optimization of Top-k Queries in Relational Databases
A Study on Optimization of Top-k Queries in Relational Databases
 
Search Accuracy Metrics and Predictive Analytics - A Big Data Use Case: Prese...
Search Accuracy Metrics and Predictive Analytics - A Big Data Use Case: Prese...Search Accuracy Metrics and Predictive Analytics - A Big Data Use Case: Prese...
Search Accuracy Metrics and Predictive Analytics - A Big Data Use Case: Prese...
 
Research Inventy : International Journal of Engineering and Science
Research Inventy : International Journal of Engineering and ScienceResearch Inventy : International Journal of Engineering and Science
Research Inventy : International Journal of Engineering and Science
 

Andere mochten auch

Chapter 16 ppt eval & testing 4e formatted 01.10 kg edits
Chapter 16 ppt eval & testing 4e formatted 01.10 kg editsChapter 16 ppt eval & testing 4e formatted 01.10 kg edits
Chapter 16 ppt eval & testing 4e formatted 01.10 kg edits
stanbridge
 
Methods of interpreting test scores by Dr.Shazia Zamir
Methods of interpreting test scores by Dr.Shazia Zamir Methods of interpreting test scores by Dr.Shazia Zamir
Methods of interpreting test scores by Dr.Shazia Zamir
Dr.Shazia Zamir
 
Đ‘ĐžĐ·ĐœĐ”Ń-ĐżĐŸŃ‚Đ”ĐœŃ†ĐžĐ°Đ» ŃĐŸŃ†ĐžĐ°Đ»ŃŒĐœŃ‹Ń… Ń‚Đ”Ń…ĐœĐŸĐ»ĐŸĐłĐžĐč_Đ ĐŁĐĄ
Đ‘ĐžĐ·ĐœĐ”Ń-ĐżĐŸŃ‚Đ”ĐœŃ†ĐžĐ°Đ» ŃĐŸŃ†ĐžĐ°Đ»ŃŒĐœŃ‹Ń… Ń‚Đ”Ń…ĐœĐŸĐ»ĐŸĐłĐžĐč_Đ ĐŁĐĄĐ‘ĐžĐ·ĐœĐ”Ń-ĐżĐŸŃ‚Đ”ĐœŃ†ĐžĐ°Đ» ŃĐŸŃ†ĐžĐ°Đ»ŃŒĐœŃ‹Ń… Ń‚Đ”Ń…ĐœĐŸĐ»ĐŸĐłĐžĐč_Đ ĐŁĐĄ
Đ‘ĐžĐ·ĐœĐ”Ń-ĐżĐŸŃ‚Đ”ĐœŃ†ĐžĐ°Đ» ŃĐŸŃ†ĐžĐ°Đ»ŃŒĐœŃ‹Ń… Ń‚Đ”Ń…ĐœĐŸĐ»ĐŸĐłĐžĐč_Đ ĐŁĐĄ
Ingria. Technopark St. Petersburg
 
Cloudy with a chance of Cookies and Candies
Cloudy with a chance of Cookies and CandiesCloudy with a chance of Cookies and Candies
Cloudy with a chance of Cookies and Candies
vasudhah
 
Incorporating Startegies And Tactics Into Pbm
Incorporating Startegies And Tactics Into PbmIncorporating Startegies And Tactics Into Pbm
Incorporating Startegies And Tactics Into Pbm
Dennis Bolles
 
Jonaaas Brotheers
Jonaaas BrotheersJonaaas Brotheers
Jonaaas Brotheers
guestb49811
 
Version 4 Intro, Value & Methodology.
Version 4 Intro, Value & Methodology.Version 4 Intro, Value & Methodology.
Version 4 Intro, Value & Methodology.
EDP125
 
2nd Career
2nd Career2nd Career
2nd Career
guest1bbe58
 
Pppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp
PpppppppppppppppppppppppppppppppppppppppppppppppppppppppppppPppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp
Pppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp
Lorena Saavedra Sajaus
 

Andere mochten auch (20)

Chapter 16 ppt eval & testing 4e formatted 01.10 kg edits
Chapter 16 ppt eval & testing 4e formatted 01.10 kg editsChapter 16 ppt eval & testing 4e formatted 01.10 kg edits
Chapter 16 ppt eval & testing 4e formatted 01.10 kg edits
 
Interpretation of Assessment Results
Interpretation of Assessment ResultsInterpretation of Assessment Results
Interpretation of Assessment Results
 
Describing and Interpreting Test Scores: Frequency Distribution to Measures o...
Describing and Interpreting Test Scores: Frequency Distribution to Measures o...Describing and Interpreting Test Scores: Frequency Distribution to Measures o...
Describing and Interpreting Test Scores: Frequency Distribution to Measures o...
 
Interpreting Test Scores
Interpreting Test ScoresInterpreting Test Scores
Interpreting Test Scores
 
Methods of interpreting test scores by Dr.Shazia Zamir
Methods of interpreting test scores by Dr.Shazia Zamir Methods of interpreting test scores by Dr.Shazia Zamir
Methods of interpreting test scores by Dr.Shazia Zamir
 
Interpreting scores from Test
Interpreting scores from TestInterpreting scores from Test
Interpreting scores from Test
 
iakhomasuridze
iakhomasuridzeiakhomasuridze
iakhomasuridze
 
Đ‘ĐžĐ·ĐœĐ”Ń-ĐżĐŸŃ‚Đ”ĐœŃ†ĐžĐ°Đ» ŃĐŸŃ†ĐžĐ°Đ»ŃŒĐœŃ‹Ń… Ń‚Đ”Ń…ĐœĐŸĐ»ĐŸĐłĐžĐč_Đ ĐŁĐĄ
Đ‘ĐžĐ·ĐœĐ”Ń-ĐżĐŸŃ‚Đ”ĐœŃ†ĐžĐ°Đ» ŃĐŸŃ†ĐžĐ°Đ»ŃŒĐœŃ‹Ń… Ń‚Đ”Ń…ĐœĐŸĐ»ĐŸĐłĐžĐč_Đ ĐŁĐĄĐ‘ĐžĐ·ĐœĐ”Ń-ĐżĐŸŃ‚Đ”ĐœŃ†ĐžĐ°Đ» ŃĐŸŃ†ĐžĐ°Đ»ŃŒĐœŃ‹Ń… Ń‚Đ”Ń…ĐœĐŸĐ»ĐŸĐłĐžĐč_Đ ĐŁĐĄ
Đ‘ĐžĐ·ĐœĐ”Ń-ĐżĐŸŃ‚Đ”ĐœŃ†ĐžĐ°Đ» ŃĐŸŃ†ĐžĐ°Đ»ŃŒĐœŃ‹Ń… Ń‚Đ”Ń…ĐœĐŸĐ»ĐŸĐłĐžĐč_Đ ĐŁĐĄ
 
Cloudy with a chance of Cookies and Candies
Cloudy with a chance of Cookies and CandiesCloudy with a chance of Cookies and Candies
Cloudy with a chance of Cookies and Candies
 
Incorporating Startegies And Tactics Into Pbm
Incorporating Startegies And Tactics Into PbmIncorporating Startegies And Tactics Into Pbm
Incorporating Startegies And Tactics Into Pbm
 
Jonaaas Brotheers
Jonaaas BrotheersJonaaas Brotheers
Jonaaas Brotheers
 
Juggling
JugglingJuggling
Juggling
 
Version 4 Intro, Value & Methodology.
Version 4 Intro, Value & Methodology.Version 4 Intro, Value & Methodology.
Version 4 Intro, Value & Methodology.
 
Networked Neighbourhoods - bishopthorpe.net
Networked Neighbourhoods - bishopthorpe.netNetworked Neighbourhoods - bishopthorpe.net
Networked Neighbourhoods - bishopthorpe.net
 
Auto
AutoAuto
Auto
 
Software for Learning - ULearn09
Software for Learning - ULearn09Software for Learning - ULearn09
Software for Learning - ULearn09
 
Save the Newspapers
Save the NewspapersSave the Newspapers
Save the Newspapers
 
2nd Career
2nd Career2nd Career
2nd Career
 
Pppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp
PpppppppppppppppppppppppppppppppppppppppppppppppppppppppppppPppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp
Pppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp
 
Volwassenheid
Volwassenheid Volwassenheid
Volwassenheid
 

Ähnlich wie probabilistic ranking

Search Quality Evaluation to Help Reproducibility : an Open Source Approach
Search Quality Evaluation to Help Reproducibility : an Open Source ApproachSearch Quality Evaluation to Help Reproducibility : an Open Source Approach
Search Quality Evaluation to Help Reproducibility : an Open Source Approach
Alessandro Benedetti
 
Enhancing Keyword Query Results Over Database for Improving User Satisfaction
Enhancing Keyword Query Results Over Database for Improving User Satisfaction Enhancing Keyword Query Results Over Database for Improving User Satisfaction
Enhancing Keyword Query Results Over Database for Improving User Satisfaction
ijmpict
 
Rated Ranking Evaluator: An Open Source Approach for Search Quality Evaluation
Rated Ranking Evaluator: An Open Source Approach for Search Quality EvaluationRated Ranking Evaluator: An Open Source Approach for Search Quality Evaluation
Rated Ranking Evaluator: An Open Source Approach for Search Quality Evaluation
Alessandro Benedetti
 
Haystack 2019 - Rated Ranking Evaluator: an Open Source Approach for Search Q...
Haystack 2019 - Rated Ranking Evaluator: an Open Source Approach for Search Q...Haystack 2019 - Rated Ranking Evaluator: an Open Source Approach for Search Q...
Haystack 2019 - Rated Ranking Evaluator: an Open Source Approach for Search Q...
OpenSource Connections
 
Rated Ranking Evaluator: an Open Source Approach for Search Quality Evaluation
Rated Ranking Evaluator: an Open Source Approach for Search Quality EvaluationRated Ranking Evaluator: an Open Source Approach for Search Quality Evaluation
Rated Ranking Evaluator: an Open Source Approach for Search Quality Evaluation
Sease
 
powerpoint
powerpointpowerpoint
powerpoint
butest
 
Overview of query evaluation
Overview of query evaluationOverview of query evaluation
Overview of query evaluation
avniS
 
Query Aware Determinization of Uncertain Objects
Query Aware Determinization of Uncertain ObjectsQuery Aware Determinization of Uncertain Objects
Query Aware Determinization of Uncertain Objects
nexgentechnology
 
QUERY AWARE DETERMINIZATION OF UNCERTAIN OBJECTS
QUERY AWARE DETERMINIZATION OF UNCERTAIN OBJECTS QUERY AWARE DETERMINIZATION OF UNCERTAIN OBJECTS
QUERY AWARE DETERMINIZATION OF UNCERTAIN OBJECTS
Nexgen Technology
 
Query aware determinization of uncertain
Query aware determinization of uncertainQuery aware determinization of uncertain
Query aware determinization of uncertain
Shakas Technologies
 
Parameter Estimation User Guide
Parameter Estimation User GuideParameter Estimation User Guide
Parameter Estimation User Guide
Andy Salmon
 
B2 2005 introduction_load_testing_blackboard_primer_draft
B2 2005 introduction_load_testing_blackboard_primer_draftB2 2005 introduction_load_testing_blackboard_primer_draft
B2 2005 introduction_load_testing_blackboard_primer_draft
Steve Feldman
 

Ähnlich wie probabilistic ranking (20)

Search Quality Evaluation to Help Reproducibility : an Open Source Approach
Search Quality Evaluation to Help Reproducibility : an Open Source ApproachSearch Quality Evaluation to Help Reproducibility : an Open Source Approach
Search Quality Evaluation to Help Reproducibility : an Open Source Approach
 
Enhancing Keyword Query Results Over Database for Improving User Satisfaction
Enhancing Keyword Query Results Over Database for Improving User Satisfaction Enhancing Keyword Query Results Over Database for Improving User Satisfaction
Enhancing Keyword Query Results Over Database for Improving User Satisfaction
 
Rated Ranking Evaluator: An Open Source Approach for Search Quality Evaluation
Rated Ranking Evaluator: An Open Source Approach for Search Quality EvaluationRated Ranking Evaluator: An Open Source Approach for Search Quality Evaluation
Rated Ranking Evaluator: An Open Source Approach for Search Quality Evaluation
 
Haystack 2019 - Rated Ranking Evaluator: an Open Source Approach for Search Q...
Haystack 2019 - Rated Ranking Evaluator: an Open Source Approach for Search Q...Haystack 2019 - Rated Ranking Evaluator: an Open Source Approach for Search Q...
Haystack 2019 - Rated Ranking Evaluator: an Open Source Approach for Search Q...
 
Rated Ranking Evaluator: an Open Source Approach for Search Quality Evaluation
Rated Ranking Evaluator: an Open Source Approach for Search Quality EvaluationRated Ranking Evaluator: an Open Source Approach for Search Quality Evaluation
Rated Ranking Evaluator: an Open Source Approach for Search Quality Evaluation
 
Rdbms
RdbmsRdbms
Rdbms
 
powerpoint
powerpointpowerpoint
powerpoint
 
Overview of query evaluation
Overview of query evaluationOverview of query evaluation
Overview of query evaluation
 
Query Aware Determinization of Uncertain Objects
Query Aware Determinization of Uncertain ObjectsQuery Aware Determinization of Uncertain Objects
Query Aware Determinization of Uncertain Objects
 
QUERY AWARE DETERMINIZATION OF UNCERTAIN OBJECTS
QUERY AWARE DETERMINIZATION OF UNCERTAIN OBJECTS QUERY AWARE DETERMINIZATION OF UNCERTAIN OBJECTS
QUERY AWARE DETERMINIZATION OF UNCERTAIN OBJECTS
 
Query aware determinization of uncertain
Query aware determinization of uncertainQuery aware determinization of uncertain
Query aware determinization of uncertain
 
Query aware determinization of uncertain
Query aware determinization of uncertainQuery aware determinization of uncertain
Query aware determinization of uncertain
 
Chapter15
Chapter15Chapter15
Chapter15
 
Get started with R lang
Get started with R langGet started with R lang
Get started with R lang
 
Automated Essay Grading using Features Selection
Automated Essay Grading using Features SelectionAutomated Essay Grading using Features Selection
Automated Essay Grading using Features Selection
 
Implementation of query optimization for reducing run time
Implementation of query optimization for reducing run timeImplementation of query optimization for reducing run time
Implementation of query optimization for reducing run time
 
Parameter Estimation User Guide
Parameter Estimation User GuideParameter Estimation User Guide
Parameter Estimation User Guide
 
Oracle Sql Tuning
Oracle Sql TuningOracle Sql Tuning
Oracle Sql Tuning
 
B2 2005 introduction_load_testing_blackboard_primer_draft
B2 2005 introduction_load_testing_blackboard_primer_draftB2 2005 introduction_load_testing_blackboard_primer_draft
B2 2005 introduction_load_testing_blackboard_primer_draft
 
B017350710
B017350710B017350710
B017350710
 

Mehr von FELIX75

technorati
technoratitechnorati
technorati
FELIX75
 
technorati
technoratitechnorati
technorati
FELIX75
 
php
phpphp
php
FELIX75
 
probabilistic ranking
probabilistic rankingprobabilistic ranking
probabilistic ranking
FELIX75
 
probabilistic ranking
probabilistic rankingprobabilistic ranking
probabilistic ranking
FELIX75
 
probabilistic ranking
probabilistic rankingprobabilistic ranking
probabilistic ranking
FELIX75
 
DB-IR-ranking
DB-IR-rankingDB-IR-ranking
DB-IR-ranking
FELIX75
 
IR-ranking
IR-rankingIR-ranking
IR-ranking
FELIX75
 

Mehr von FELIX75 (8)

technorati
technoratitechnorati
technorati
 
technorati
technoratitechnorati
technorati
 
php
phpphp
php
 
probabilistic ranking
probabilistic rankingprobabilistic ranking
probabilistic ranking
 
probabilistic ranking
probabilistic rankingprobabilistic ranking
probabilistic ranking
 
probabilistic ranking
probabilistic rankingprobabilistic ranking
probabilistic ranking
 
DB-IR-ranking
DB-IR-rankingDB-IR-ranking
DB-IR-ranking
 
IR-ranking
IR-rankingIR-ranking
IR-ranking
 

KĂŒrzlich hochgeladen

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Jeffrey Haguewood
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdf
Overkill Security
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
UiPathCommunity
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Angeliki Cooney
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMECloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

KĂŒrzlich hochgeladen (20)

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdf
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMECloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 

probabilistic ranking

  • 1. Ranking of Database Query Results Nitesh Maan, Arujn Saraswat, Nishant Kapoor
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20. Architecture of Ranking System Detailed Architecture of the Ranking System
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.