webinar: fusion for data science
TRANSCRIPT
Fusion for data science
Grant Ingersoll CTO Lucidworks
gsingers
Scalable search and analytics in one
Get Started
httpsgithubcomLucidWorksfusion-examplestreemasterfusion-for-datascience-webinar
bull Best in breed search solution built on Apache Lucene and Solr
bull Easily capture signals like clicks shares ratings etc and make them actionable
bull Powerful data ingestion and analysis capabilities enabling machine learning recommendations and positive user feedback loops
bull Effortless scale leveraging proven frameworks and algorithms
bull Easy integration with big data tools like Hadoop
Fusion Foundations
Billions of Docs
Optional
REST
Security woven throughout
Prox
yLB
Recs
Worker
Pipes Metrics
NLP Sched
Blobs Msging
Connectors
Worker Cluster Mgr
Spark
Shards Shards
Solr
HD
FS
Shared Config Mgmt
Leader Election
Load Balancing
ZK 1
Zookeeper
ZK N
Signals
Fusion Architecture
Millions of Users
bull Data exploration and visualization
bull Easy Ingestion feature selection and data reduction
bull REST APIs for easy integration with commonly used tools
bull Quick and Dirty classification clustering
bull Powerful and scalable aggregations mathstats framework leveraging Apache Spark
bull Out of the box NLP tools for part of speech sentence detection named entity and more
bull OOTB recommenders plus Mahout extensions
Fusion Data Science Use Cases
Lucene Core search pluggable ranking advanced storage sparse matrix
Solr Faceting function queries basic stats scaling easy setup UIMA basic NLP search clustering
Fusion Pipelines ConnectorsCrawlers DashboardsUI Spark integration advanced stats large scale aggregations
Fusion Standing on the shoulders of giants
Data Exploration Demo
bull Ingestion
bull 60+ connectors plus easily push data in using REST APIs
bull Feature Selection
bull Analyzers for all types
bull Easily getcalculate weights for terms and attach payloads
bull Term VectorsTerm Dictionary
bull Data Reduction
bull Filters
bull Analyzers
bull Data quality tools
Ingestion Selection Reduction
bull Math
bull Search is essentially Vector Matrix
bull Aggregations
bull Enable advanced computation over both core content as well as Fusionrsquos signals
bull Make it easy to try out by leveraging Solr
bull Ship with prebuilt ldquonamedrdquo aggregations to cover common scenarios
Aggregations and Math
bull Effortless scale integrated with Fusion and Solr
bull Leverage existing libraries like
bull Mahout
bull Deep Learning 4J
bull GraphX MLLib
bull As easy as
bull binspark start
bull httpaggregatorjobstwitterhashtags_per_authorspark=true
Spark FTW
Aggregations Demo
bull Fusion powers recommendation use cases such as
bull People who bough this bought that
bull Related searches spellings and more
bull Session analysis
bull Fusion ships with several built in recommendation options - Graph and collaborative filtering based approaches
bull Easily enable multi-modal recommendations that combine - Content - Collaborative Filtering - Spatial - HistoricContext
Recommendations
bull Spark
bull APIs for running non-Lucid Spark jobs
bull Integration with 3rd party Spark instances (from major Hadoop distros)
bull Solr RDD extensions for term dictionary term vectors
bull UI for managing Aggregations
bull Full-fledged Graph API
bull More Math matrices functions etc
Whats Next
bull Lucidworks httpwwwlucidworkscom
bull Me grantlucidworkscom
bull Key Docs
bull httpsdocslucidworkscom
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregator+API
bull httpsdocslucidworkscomdisplayfusionAggregator+Functions
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregations+and+Recommendations
Resources
Get Started
httpsgithubcomLucidWorksfusion-examplestreemasterfusion-for-datascience-webinar
bull Best in breed search solution built on Apache Lucene and Solr
bull Easily capture signals like clicks shares ratings etc and make them actionable
bull Powerful data ingestion and analysis capabilities enabling machine learning recommendations and positive user feedback loops
bull Effortless scale leveraging proven frameworks and algorithms
bull Easy integration with big data tools like Hadoop
Fusion Foundations
Billions of Docs
Optional
REST
Security woven throughout
Prox
yLB
Recs
Worker
Pipes Metrics
NLP Sched
Blobs Msging
Connectors
Worker Cluster Mgr
Spark
Shards Shards
Solr
HD
FS
Shared Config Mgmt
Leader Election
Load Balancing
ZK 1
Zookeeper
ZK N
Signals
Fusion Architecture
Millions of Users
bull Data exploration and visualization
bull Easy Ingestion feature selection and data reduction
bull REST APIs for easy integration with commonly used tools
bull Quick and Dirty classification clustering
bull Powerful and scalable aggregations mathstats framework leveraging Apache Spark
bull Out of the box NLP tools for part of speech sentence detection named entity and more
bull OOTB recommenders plus Mahout extensions
Fusion Data Science Use Cases
Lucene Core search pluggable ranking advanced storage sparse matrix
Solr Faceting function queries basic stats scaling easy setup UIMA basic NLP search clustering
Fusion Pipelines ConnectorsCrawlers DashboardsUI Spark integration advanced stats large scale aggregations
Fusion Standing on the shoulders of giants
Data Exploration Demo
bull Ingestion
bull 60+ connectors plus easily push data in using REST APIs
bull Feature Selection
bull Analyzers for all types
bull Easily getcalculate weights for terms and attach payloads
bull Term VectorsTerm Dictionary
bull Data Reduction
bull Filters
bull Analyzers
bull Data quality tools
Ingestion Selection Reduction
bull Math
bull Search is essentially Vector Matrix
bull Aggregations
bull Enable advanced computation over both core content as well as Fusionrsquos signals
bull Make it easy to try out by leveraging Solr
bull Ship with prebuilt ldquonamedrdquo aggregations to cover common scenarios
Aggregations and Math
bull Effortless scale integrated with Fusion and Solr
bull Leverage existing libraries like
bull Mahout
bull Deep Learning 4J
bull GraphX MLLib
bull As easy as
bull binspark start
bull httpaggregatorjobstwitterhashtags_per_authorspark=true
Spark FTW
Aggregations Demo
bull Fusion powers recommendation use cases such as
bull People who bough this bought that
bull Related searches spellings and more
bull Session analysis
bull Fusion ships with several built in recommendation options - Graph and collaborative filtering based approaches
bull Easily enable multi-modal recommendations that combine - Content - Collaborative Filtering - Spatial - HistoricContext
Recommendations
bull Spark
bull APIs for running non-Lucid Spark jobs
bull Integration with 3rd party Spark instances (from major Hadoop distros)
bull Solr RDD extensions for term dictionary term vectors
bull UI for managing Aggregations
bull Full-fledged Graph API
bull More Math matrices functions etc
Whats Next
bull Lucidworks httpwwwlucidworkscom
bull Me grantlucidworkscom
bull Key Docs
bull httpsdocslucidworkscom
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregator+API
bull httpsdocslucidworkscomdisplayfusionAggregator+Functions
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregations+and+Recommendations
Resources
bull Best in breed search solution built on Apache Lucene and Solr
bull Easily capture signals like clicks shares ratings etc and make them actionable
bull Powerful data ingestion and analysis capabilities enabling machine learning recommendations and positive user feedback loops
bull Effortless scale leveraging proven frameworks and algorithms
bull Easy integration with big data tools like Hadoop
Fusion Foundations
Billions of Docs
Optional
REST
Security woven throughout
Prox
yLB
Recs
Worker
Pipes Metrics
NLP Sched
Blobs Msging
Connectors
Worker Cluster Mgr
Spark
Shards Shards
Solr
HD
FS
Shared Config Mgmt
Leader Election
Load Balancing
ZK 1
Zookeeper
ZK N
Signals
Fusion Architecture
Millions of Users
bull Data exploration and visualization
bull Easy Ingestion feature selection and data reduction
bull REST APIs for easy integration with commonly used tools
bull Quick and Dirty classification clustering
bull Powerful and scalable aggregations mathstats framework leveraging Apache Spark
bull Out of the box NLP tools for part of speech sentence detection named entity and more
bull OOTB recommenders plus Mahout extensions
Fusion Data Science Use Cases
Lucene Core search pluggable ranking advanced storage sparse matrix
Solr Faceting function queries basic stats scaling easy setup UIMA basic NLP search clustering
Fusion Pipelines ConnectorsCrawlers DashboardsUI Spark integration advanced stats large scale aggregations
Fusion Standing on the shoulders of giants
Data Exploration Demo
bull Ingestion
bull 60+ connectors plus easily push data in using REST APIs
bull Feature Selection
bull Analyzers for all types
bull Easily getcalculate weights for terms and attach payloads
bull Term VectorsTerm Dictionary
bull Data Reduction
bull Filters
bull Analyzers
bull Data quality tools
Ingestion Selection Reduction
bull Math
bull Search is essentially Vector Matrix
bull Aggregations
bull Enable advanced computation over both core content as well as Fusionrsquos signals
bull Make it easy to try out by leveraging Solr
bull Ship with prebuilt ldquonamedrdquo aggregations to cover common scenarios
Aggregations and Math
bull Effortless scale integrated with Fusion and Solr
bull Leverage existing libraries like
bull Mahout
bull Deep Learning 4J
bull GraphX MLLib
bull As easy as
bull binspark start
bull httpaggregatorjobstwitterhashtags_per_authorspark=true
Spark FTW
Aggregations Demo
bull Fusion powers recommendation use cases such as
bull People who bough this bought that
bull Related searches spellings and more
bull Session analysis
bull Fusion ships with several built in recommendation options - Graph and collaborative filtering based approaches
bull Easily enable multi-modal recommendations that combine - Content - Collaborative Filtering - Spatial - HistoricContext
Recommendations
bull Spark
bull APIs for running non-Lucid Spark jobs
bull Integration with 3rd party Spark instances (from major Hadoop distros)
bull Solr RDD extensions for term dictionary term vectors
bull UI for managing Aggregations
bull Full-fledged Graph API
bull More Math matrices functions etc
Whats Next
bull Lucidworks httpwwwlucidworkscom
bull Me grantlucidworkscom
bull Key Docs
bull httpsdocslucidworkscom
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregator+API
bull httpsdocslucidworkscomdisplayfusionAggregator+Functions
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregations+and+Recommendations
Resources
Billions of Docs
Optional
REST
Security woven throughout
Prox
yLB
Recs
Worker
Pipes Metrics
NLP Sched
Blobs Msging
Connectors
Worker Cluster Mgr
Spark
Shards Shards
Solr
HD
FS
Shared Config Mgmt
Leader Election
Load Balancing
ZK 1
Zookeeper
ZK N
Signals
Fusion Architecture
Millions of Users
bull Data exploration and visualization
bull Easy Ingestion feature selection and data reduction
bull REST APIs for easy integration with commonly used tools
bull Quick and Dirty classification clustering
bull Powerful and scalable aggregations mathstats framework leveraging Apache Spark
bull Out of the box NLP tools for part of speech sentence detection named entity and more
bull OOTB recommenders plus Mahout extensions
Fusion Data Science Use Cases
Lucene Core search pluggable ranking advanced storage sparse matrix
Solr Faceting function queries basic stats scaling easy setup UIMA basic NLP search clustering
Fusion Pipelines ConnectorsCrawlers DashboardsUI Spark integration advanced stats large scale aggregations
Fusion Standing on the shoulders of giants
Data Exploration Demo
bull Ingestion
bull 60+ connectors plus easily push data in using REST APIs
bull Feature Selection
bull Analyzers for all types
bull Easily getcalculate weights for terms and attach payloads
bull Term VectorsTerm Dictionary
bull Data Reduction
bull Filters
bull Analyzers
bull Data quality tools
Ingestion Selection Reduction
bull Math
bull Search is essentially Vector Matrix
bull Aggregations
bull Enable advanced computation over both core content as well as Fusionrsquos signals
bull Make it easy to try out by leveraging Solr
bull Ship with prebuilt ldquonamedrdquo aggregations to cover common scenarios
Aggregations and Math
bull Effortless scale integrated with Fusion and Solr
bull Leverage existing libraries like
bull Mahout
bull Deep Learning 4J
bull GraphX MLLib
bull As easy as
bull binspark start
bull httpaggregatorjobstwitterhashtags_per_authorspark=true
Spark FTW
Aggregations Demo
bull Fusion powers recommendation use cases such as
bull People who bough this bought that
bull Related searches spellings and more
bull Session analysis
bull Fusion ships with several built in recommendation options - Graph and collaborative filtering based approaches
bull Easily enable multi-modal recommendations that combine - Content - Collaborative Filtering - Spatial - HistoricContext
Recommendations
bull Spark
bull APIs for running non-Lucid Spark jobs
bull Integration with 3rd party Spark instances (from major Hadoop distros)
bull Solr RDD extensions for term dictionary term vectors
bull UI for managing Aggregations
bull Full-fledged Graph API
bull More Math matrices functions etc
Whats Next
bull Lucidworks httpwwwlucidworkscom
bull Me grantlucidworkscom
bull Key Docs
bull httpsdocslucidworkscom
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregator+API
bull httpsdocslucidworkscomdisplayfusionAggregator+Functions
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregations+and+Recommendations
Resources
bull Data exploration and visualization
bull Easy Ingestion feature selection and data reduction
bull REST APIs for easy integration with commonly used tools
bull Quick and Dirty classification clustering
bull Powerful and scalable aggregations mathstats framework leveraging Apache Spark
bull Out of the box NLP tools for part of speech sentence detection named entity and more
bull OOTB recommenders plus Mahout extensions
Fusion Data Science Use Cases
Lucene Core search pluggable ranking advanced storage sparse matrix
Solr Faceting function queries basic stats scaling easy setup UIMA basic NLP search clustering
Fusion Pipelines ConnectorsCrawlers DashboardsUI Spark integration advanced stats large scale aggregations
Fusion Standing on the shoulders of giants
Data Exploration Demo
bull Ingestion
bull 60+ connectors plus easily push data in using REST APIs
bull Feature Selection
bull Analyzers for all types
bull Easily getcalculate weights for terms and attach payloads
bull Term VectorsTerm Dictionary
bull Data Reduction
bull Filters
bull Analyzers
bull Data quality tools
Ingestion Selection Reduction
bull Math
bull Search is essentially Vector Matrix
bull Aggregations
bull Enable advanced computation over both core content as well as Fusionrsquos signals
bull Make it easy to try out by leveraging Solr
bull Ship with prebuilt ldquonamedrdquo aggregations to cover common scenarios
Aggregations and Math
bull Effortless scale integrated with Fusion and Solr
bull Leverage existing libraries like
bull Mahout
bull Deep Learning 4J
bull GraphX MLLib
bull As easy as
bull binspark start
bull httpaggregatorjobstwitterhashtags_per_authorspark=true
Spark FTW
Aggregations Demo
bull Fusion powers recommendation use cases such as
bull People who bough this bought that
bull Related searches spellings and more
bull Session analysis
bull Fusion ships with several built in recommendation options - Graph and collaborative filtering based approaches
bull Easily enable multi-modal recommendations that combine - Content - Collaborative Filtering - Spatial - HistoricContext
Recommendations
bull Spark
bull APIs for running non-Lucid Spark jobs
bull Integration with 3rd party Spark instances (from major Hadoop distros)
bull Solr RDD extensions for term dictionary term vectors
bull UI for managing Aggregations
bull Full-fledged Graph API
bull More Math matrices functions etc
Whats Next
bull Lucidworks httpwwwlucidworkscom
bull Me grantlucidworkscom
bull Key Docs
bull httpsdocslucidworkscom
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregator+API
bull httpsdocslucidworkscomdisplayfusionAggregator+Functions
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregations+and+Recommendations
Resources
Lucene Core search pluggable ranking advanced storage sparse matrix
Solr Faceting function queries basic stats scaling easy setup UIMA basic NLP search clustering
Fusion Pipelines ConnectorsCrawlers DashboardsUI Spark integration advanced stats large scale aggregations
Fusion Standing on the shoulders of giants
Data Exploration Demo
bull Ingestion
bull 60+ connectors plus easily push data in using REST APIs
bull Feature Selection
bull Analyzers for all types
bull Easily getcalculate weights for terms and attach payloads
bull Term VectorsTerm Dictionary
bull Data Reduction
bull Filters
bull Analyzers
bull Data quality tools
Ingestion Selection Reduction
bull Math
bull Search is essentially Vector Matrix
bull Aggregations
bull Enable advanced computation over both core content as well as Fusionrsquos signals
bull Make it easy to try out by leveraging Solr
bull Ship with prebuilt ldquonamedrdquo aggregations to cover common scenarios
Aggregations and Math
bull Effortless scale integrated with Fusion and Solr
bull Leverage existing libraries like
bull Mahout
bull Deep Learning 4J
bull GraphX MLLib
bull As easy as
bull binspark start
bull httpaggregatorjobstwitterhashtags_per_authorspark=true
Spark FTW
Aggregations Demo
bull Fusion powers recommendation use cases such as
bull People who bough this bought that
bull Related searches spellings and more
bull Session analysis
bull Fusion ships with several built in recommendation options - Graph and collaborative filtering based approaches
bull Easily enable multi-modal recommendations that combine - Content - Collaborative Filtering - Spatial - HistoricContext
Recommendations
bull Spark
bull APIs for running non-Lucid Spark jobs
bull Integration with 3rd party Spark instances (from major Hadoop distros)
bull Solr RDD extensions for term dictionary term vectors
bull UI for managing Aggregations
bull Full-fledged Graph API
bull More Math matrices functions etc
Whats Next
bull Lucidworks httpwwwlucidworkscom
bull Me grantlucidworkscom
bull Key Docs
bull httpsdocslucidworkscom
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregator+API
bull httpsdocslucidworkscomdisplayfusionAggregator+Functions
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregations+and+Recommendations
Resources
Data Exploration Demo
bull Ingestion
bull 60+ connectors plus easily push data in using REST APIs
bull Feature Selection
bull Analyzers for all types
bull Easily getcalculate weights for terms and attach payloads
bull Term VectorsTerm Dictionary
bull Data Reduction
bull Filters
bull Analyzers
bull Data quality tools
Ingestion Selection Reduction
bull Math
bull Search is essentially Vector Matrix
bull Aggregations
bull Enable advanced computation over both core content as well as Fusionrsquos signals
bull Make it easy to try out by leveraging Solr
bull Ship with prebuilt ldquonamedrdquo aggregations to cover common scenarios
Aggregations and Math
bull Effortless scale integrated with Fusion and Solr
bull Leverage existing libraries like
bull Mahout
bull Deep Learning 4J
bull GraphX MLLib
bull As easy as
bull binspark start
bull httpaggregatorjobstwitterhashtags_per_authorspark=true
Spark FTW
Aggregations Demo
bull Fusion powers recommendation use cases such as
bull People who bough this bought that
bull Related searches spellings and more
bull Session analysis
bull Fusion ships with several built in recommendation options - Graph and collaborative filtering based approaches
bull Easily enable multi-modal recommendations that combine - Content - Collaborative Filtering - Spatial - HistoricContext
Recommendations
bull Spark
bull APIs for running non-Lucid Spark jobs
bull Integration with 3rd party Spark instances (from major Hadoop distros)
bull Solr RDD extensions for term dictionary term vectors
bull UI for managing Aggregations
bull Full-fledged Graph API
bull More Math matrices functions etc
Whats Next
bull Lucidworks httpwwwlucidworkscom
bull Me grantlucidworkscom
bull Key Docs
bull httpsdocslucidworkscom
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregator+API
bull httpsdocslucidworkscomdisplayfusionAggregator+Functions
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregations+and+Recommendations
Resources
bull Ingestion
bull 60+ connectors plus easily push data in using REST APIs
bull Feature Selection
bull Analyzers for all types
bull Easily getcalculate weights for terms and attach payloads
bull Term VectorsTerm Dictionary
bull Data Reduction
bull Filters
bull Analyzers
bull Data quality tools
Ingestion Selection Reduction
bull Math
bull Search is essentially Vector Matrix
bull Aggregations
bull Enable advanced computation over both core content as well as Fusionrsquos signals
bull Make it easy to try out by leveraging Solr
bull Ship with prebuilt ldquonamedrdquo aggregations to cover common scenarios
Aggregations and Math
bull Effortless scale integrated with Fusion and Solr
bull Leverage existing libraries like
bull Mahout
bull Deep Learning 4J
bull GraphX MLLib
bull As easy as
bull binspark start
bull httpaggregatorjobstwitterhashtags_per_authorspark=true
Spark FTW
Aggregations Demo
bull Fusion powers recommendation use cases such as
bull People who bough this bought that
bull Related searches spellings and more
bull Session analysis
bull Fusion ships with several built in recommendation options - Graph and collaborative filtering based approaches
bull Easily enable multi-modal recommendations that combine - Content - Collaborative Filtering - Spatial - HistoricContext
Recommendations
bull Spark
bull APIs for running non-Lucid Spark jobs
bull Integration with 3rd party Spark instances (from major Hadoop distros)
bull Solr RDD extensions for term dictionary term vectors
bull UI for managing Aggregations
bull Full-fledged Graph API
bull More Math matrices functions etc
Whats Next
bull Lucidworks httpwwwlucidworkscom
bull Me grantlucidworkscom
bull Key Docs
bull httpsdocslucidworkscom
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregator+API
bull httpsdocslucidworkscomdisplayfusionAggregator+Functions
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregations+and+Recommendations
Resources
bull Math
bull Search is essentially Vector Matrix
bull Aggregations
bull Enable advanced computation over both core content as well as Fusionrsquos signals
bull Make it easy to try out by leveraging Solr
bull Ship with prebuilt ldquonamedrdquo aggregations to cover common scenarios
Aggregations and Math
bull Effortless scale integrated with Fusion and Solr
bull Leverage existing libraries like
bull Mahout
bull Deep Learning 4J
bull GraphX MLLib
bull As easy as
bull binspark start
bull httpaggregatorjobstwitterhashtags_per_authorspark=true
Spark FTW
Aggregations Demo
bull Fusion powers recommendation use cases such as
bull People who bough this bought that
bull Related searches spellings and more
bull Session analysis
bull Fusion ships with several built in recommendation options - Graph and collaborative filtering based approaches
bull Easily enable multi-modal recommendations that combine - Content - Collaborative Filtering - Spatial - HistoricContext
Recommendations
bull Spark
bull APIs for running non-Lucid Spark jobs
bull Integration with 3rd party Spark instances (from major Hadoop distros)
bull Solr RDD extensions for term dictionary term vectors
bull UI for managing Aggregations
bull Full-fledged Graph API
bull More Math matrices functions etc
Whats Next
bull Lucidworks httpwwwlucidworkscom
bull Me grantlucidworkscom
bull Key Docs
bull httpsdocslucidworkscom
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregator+API
bull httpsdocslucidworkscomdisplayfusionAggregator+Functions
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregations+and+Recommendations
Resources
bull Effortless scale integrated with Fusion and Solr
bull Leverage existing libraries like
bull Mahout
bull Deep Learning 4J
bull GraphX MLLib
bull As easy as
bull binspark start
bull httpaggregatorjobstwitterhashtags_per_authorspark=true
Spark FTW
Aggregations Demo
bull Fusion powers recommendation use cases such as
bull People who bough this bought that
bull Related searches spellings and more
bull Session analysis
bull Fusion ships with several built in recommendation options - Graph and collaborative filtering based approaches
bull Easily enable multi-modal recommendations that combine - Content - Collaborative Filtering - Spatial - HistoricContext
Recommendations
bull Spark
bull APIs for running non-Lucid Spark jobs
bull Integration with 3rd party Spark instances (from major Hadoop distros)
bull Solr RDD extensions for term dictionary term vectors
bull UI for managing Aggregations
bull Full-fledged Graph API
bull More Math matrices functions etc
Whats Next
bull Lucidworks httpwwwlucidworkscom
bull Me grantlucidworkscom
bull Key Docs
bull httpsdocslucidworkscom
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregator+API
bull httpsdocslucidworkscomdisplayfusionAggregator+Functions
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregations+and+Recommendations
Resources
Aggregations Demo
bull Fusion powers recommendation use cases such as
bull People who bough this bought that
bull Related searches spellings and more
bull Session analysis
bull Fusion ships with several built in recommendation options - Graph and collaborative filtering based approaches
bull Easily enable multi-modal recommendations that combine - Content - Collaborative Filtering - Spatial - HistoricContext
Recommendations
bull Spark
bull APIs for running non-Lucid Spark jobs
bull Integration with 3rd party Spark instances (from major Hadoop distros)
bull Solr RDD extensions for term dictionary term vectors
bull UI for managing Aggregations
bull Full-fledged Graph API
bull More Math matrices functions etc
Whats Next
bull Lucidworks httpwwwlucidworkscom
bull Me grantlucidworkscom
bull Key Docs
bull httpsdocslucidworkscom
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregator+API
bull httpsdocslucidworkscomdisplayfusionAggregator+Functions
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregations+and+Recommendations
Resources
bull Fusion powers recommendation use cases such as
bull People who bough this bought that
bull Related searches spellings and more
bull Session analysis
bull Fusion ships with several built in recommendation options - Graph and collaborative filtering based approaches
bull Easily enable multi-modal recommendations that combine - Content - Collaborative Filtering - Spatial - HistoricContext
Recommendations
bull Spark
bull APIs for running non-Lucid Spark jobs
bull Integration with 3rd party Spark instances (from major Hadoop distros)
bull Solr RDD extensions for term dictionary term vectors
bull UI for managing Aggregations
bull Full-fledged Graph API
bull More Math matrices functions etc
Whats Next
bull Lucidworks httpwwwlucidworkscom
bull Me grantlucidworkscom
bull Key Docs
bull httpsdocslucidworkscom
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregator+API
bull httpsdocslucidworkscomdisplayfusionAggregator+Functions
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregations+and+Recommendations
Resources
bull Spark
bull APIs for running non-Lucid Spark jobs
bull Integration with 3rd party Spark instances (from major Hadoop distros)
bull Solr RDD extensions for term dictionary term vectors
bull UI for managing Aggregations
bull Full-fledged Graph API
bull More Math matrices functions etc
Whats Next
bull Lucidworks httpwwwlucidworkscom
bull Me grantlucidworkscom
bull Key Docs
bull httpsdocslucidworkscom
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregator+API
bull httpsdocslucidworkscomdisplayfusionAggregator+Functions
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregations+and+Recommendations
Resources
bull Lucidworks httpwwwlucidworkscom
bull Me grantlucidworkscom
bull Key Docs
bull httpsdocslucidworkscom
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregator+API
bull httpsdocslucidworkscomdisplayfusionAggregator+Functions
bull httpsdocslucidworkscomdisplayfusionSignals+Aggregations+and+Recommendations
Resources