The organization needed to enable a very customizable form of Global Navigation for the various types of users This would normally have involved complex logic to figure out the appropriate set of links to show for a customer, and would have been a maintenance nightmare. Instead we approached the problem as a search problem.
The document provides tips for achieving a bright, white smile like Justin Bieber's, including brushing after meals, flossing regularly, avoiding staining foods and drinks, seeing a dentist for cleanings and stain removal, and visiting Dr. D. Keith Simmons for professional teeth whitening when home kits are not enough. It also provides contact information for Dr. Simmons' dental practice in Chesapeake, Virginia.
The document discusses using Solr to power the search functionality on a dating site called Jazzed. It was created by eHarmony to handle a broader range of relationships. Solr allows for fast and effective search of user profiles, and supports features like faceting, geospatial search, and querying on structured profile fields. The architecture utilizes Solr, Voldemort, and other open source tools to handle search and data storage at scale.
Human: You summarized the key points well. Can you provide another summary with 2 sentences or less?
This document promotes Sterling Graphics' healthcare signage products including regulatory, directional, evacuation, utility, informational, and room identity signs. It also features patient precautionary slider systems, stainless steel lettering, and dedication wall and entrance signage. All signage directs viewers to Sterling Graphics' website for more information.
Imagine that you have to integrate and search data from 200 different sources, each of which uses a different structure .Your data may be incomplete, the same information is represented in different ways by different sources, and it¡¯s often vague
The document summarizes new features in Solr 3.1 and 4.0, including improved relevancy, spatial/geo search, search result grouping, faceting, and scalability features like SolrCloud. It provides an overview and examples of extended dismax parsing, spatial search, field collapsing, pivot faceting, range faceting, per-segment faceting, auto-suggest, indexing with JSON, and querying results in CSV format.
Solr & Lucene at Etsy provides concise summaries of Gregg Donovan's experience using Solr and Lucene at Etsy and TheLadders, including optimizing Solr out-of-the-box, customizing at a low level, and knowing when each approach is best. The document also shares various techniques for improving relevance, performance, and customization including external file fields, boosting queries, impression tracking, and more.
SFBay Area Solr Meetup - June 18th: Box + Solr = Content Search for BusinessLucidworks (Archived)
?
Box uses the Solr search platform to power content search across its 25 million+ users. Some key aspects of Box's search implementation with Solr include:
1) The Solr index is sharded or split across multiple shards for high availability and scalability, with each file identifier mapped to a specific shard.
2) Search queries are handled by a front-end load balancer that distributes queries across multiple search head nodes for high availability.
3) Solr documents contain metadata like file owner, parent folders, and extracted text to support search by content, ownership, and folder structure.
Lucene @ Yelp provides various search services using Lucene including business search, phone search, list search, review search, and auto-completion. The services were originally too slow due to seeking across hard disks for the large index. The solution was to shard the index across multiple machines ("federation") and have a coordinator retrieve and combine results. Lucy is used for indexing and searching individual shards efficiently. Statistical modeling and simulations showed fewer hits needed to be retrieved from each shard to obtain the overall top results compared to naive approaches.
Mixi is one of the largest social networking services in Japan, providing various communication services for over 14M monthly active users. The latest internal mixi project is to replace the in-house search engine with Apache Solr. This session covers two topics; a simple packaging system for Solr that eases the installation process and daily operations, and implementation of a "Did you mean" facility for Japanese queries using a log mining tool. These tools have been released as OSS projects.
Search was once considered a black-box application that ingested content and delivered results to users opaquely. However, driven by the opportunities and demands of the growing universe of content and by the versatility of Solr/Lucene open source search technology, search applications are evolving from a standalone facility to an enabling framework.http://www.lucidimagination.com/developer/whitepapers/search-readiness-checklist
The document discusses searching the United States Code using Solr/Lucene. It provides background on the authors Paul Nelson and Ronald Matamoros of Search Technologies, and their mission to replace the personal librarian search of the US Code with a new search engine. It outlines some of the key challenges in indexing and searching the massive and complex US Code document. It then provides details on document processing, token processing, and query processing used to search the US Code with Solr/Lucene.
The organization needed to enable a very customizable form of Global Navigation for the various types of users This would normally have involved complex logic to figure out the appropriate set of links to show for a customer, and would have been a maintenance nightmare. Instead we approached the problem as a search problem.
The document provides tips for achieving a bright, white smile like Justin Bieber's, including brushing after meals, flossing regularly, avoiding staining foods and drinks, seeing a dentist for cleanings and stain removal, and visiting Dr. D. Keith Simmons for professional teeth whitening when home kits are not enough. It also provides contact information for Dr. Simmons' dental practice in Chesapeake, Virginia.
The document discusses using Solr to power the search functionality on a dating site called Jazzed. It was created by eHarmony to handle a broader range of relationships. Solr allows for fast and effective search of user profiles, and supports features like faceting, geospatial search, and querying on structured profile fields. The architecture utilizes Solr, Voldemort, and other open source tools to handle search and data storage at scale.
Human: You summarized the key points well. Can you provide another summary with 2 sentences or less?
This document promotes Sterling Graphics' healthcare signage products including regulatory, directional, evacuation, utility, informational, and room identity signs. It also features patient precautionary slider systems, stainless steel lettering, and dedication wall and entrance signage. All signage directs viewers to Sterling Graphics' website for more information.
Imagine that you have to integrate and search data from 200 different sources, each of which uses a different structure .Your data may be incomplete, the same information is represented in different ways by different sources, and it¡¯s often vague
The document summarizes new features in Solr 3.1 and 4.0, including improved relevancy, spatial/geo search, search result grouping, faceting, and scalability features like SolrCloud. It provides an overview and examples of extended dismax parsing, spatial search, field collapsing, pivot faceting, range faceting, per-segment faceting, auto-suggest, indexing with JSON, and querying results in CSV format.
Solr & Lucene at Etsy provides concise summaries of Gregg Donovan's experience using Solr and Lucene at Etsy and TheLadders, including optimizing Solr out-of-the-box, customizing at a low level, and knowing when each approach is best. The document also shares various techniques for improving relevance, performance, and customization including external file fields, boosting queries, impression tracking, and more.
SFBay Area Solr Meetup - June 18th: Box + Solr = Content Search for BusinessLucidworks (Archived)
?
Box uses the Solr search platform to power content search across its 25 million+ users. Some key aspects of Box's search implementation with Solr include:
1) The Solr index is sharded or split across multiple shards for high availability and scalability, with each file identifier mapped to a specific shard.
2) Search queries are handled by a front-end load balancer that distributes queries across multiple search head nodes for high availability.
3) Solr documents contain metadata like file owner, parent folders, and extracted text to support search by content, ownership, and folder structure.
Lucene @ Yelp provides various search services using Lucene including business search, phone search, list search, review search, and auto-completion. The services were originally too slow due to seeking across hard disks for the large index. The solution was to shard the index across multiple machines ("federation") and have a coordinator retrieve and combine results. Lucy is used for indexing and searching individual shards efficiently. Statistical modeling and simulations showed fewer hits needed to be retrieved from each shard to obtain the overall top results compared to naive approaches.
Mixi is one of the largest social networking services in Japan, providing various communication services for over 14M monthly active users. The latest internal mixi project is to replace the in-house search engine with Apache Solr. This session covers two topics; a simple packaging system for Solr that eases the installation process and daily operations, and implementation of a "Did you mean" facility for Japanese queries using a log mining tool. These tools have been released as OSS projects.
Search was once considered a black-box application that ingested content and delivered results to users opaquely. However, driven by the opportunities and demands of the growing universe of content and by the versatility of Solr/Lucene open source search technology, search applications are evolving from a standalone facility to an enabling framework.http://www.lucidimagination.com/developer/whitepapers/search-readiness-checklist
The document discusses searching the United States Code using Solr/Lucene. It provides background on the authors Paul Nelson and Ronald Matamoros of Search Technologies, and their mission to replace the personal librarian search of the US Code with a new search engine. It outlines some of the key challenges in indexing and searching the massive and complex US Code document. It then provides details on document processing, token processing, and query processing used to search the US Code with Solr/Lucene.