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https://github.com/o19s/awesome-search-relevance

Tools and other things for people who work on search relevance & information retrieval
https://github.com/o19s/awesome-search-relevance

List: awesome-search-relevance

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Tools and other things for people who work on search relevance & information retrieval

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# awesome-search-relevance



Tools and other things for people who work on search relevance & information retrieval



# Tools



The "plungers" we use in our job day-to-day.



## Offline Search Relevance Testing



- [Quepid](http://quepid.com) - test driven relevance browser sandbox using a small set of judgments

- [Splainer](http://splainer.io) - debug a single Solr or Elasticsearch query

- [Rated Ranking Evaluator](https://github.com/SeaseLtd/rated-ranking-evaluator) - Maven based relevance testing tool against a Solr or Elasticsearch config

- [Quaerite](https://github.com/mitre/quaerite) - Search relevance evaluation framework



## Search Engines



- [Apache Solr](http://lucene.apache.org/solr/)

- [Elasticsearch](https://www.elastic.co/downloads/elasticsearch)

- [Vespa](http://vespa.ai)

- [OpenSearch](https://opensearch.org/)



## Learning to Rank Tooling



Tooling for doing machine learning to optimize relevance



### Search Engine Plugins



- [Elasticsearch Learning to Rank](http://github.com/o19s/elasticsearch-learning-to-rank) - supports storing and logging features (ES queries), uploading models, and executing Ranklib and XGBoost models

- [Solr Learning to Rank](https://lucene.apache.org/solr/guide/6_6/learning-to-rank.html) - supports storing and logging features (Solr queries), uploading models, and executing a range of models



### Learning to Rank Training Models



- [Ranklib](https://sourceforge.net/p/lemur/wiki/RankLib/) - original implementation of LambdaMART and other algorithms

- [RankyMcRankFace](https://github.com/o19s/RankyMcRankFace) - Ranklib fork with a few extra features

- [XGBoost](https://xgboost.readthedocs.io/en/latest/) - eXtreme Gradient Boosting - scalably train a MART ranking model

- [LightGBM](https://github.com/Microsoft/LightGBM) - Microsoft's gradient boosting library

- [TFRanking](https://github.com/tensorflow/ranking) - Tensorflow ranking



## NLP



- [Gensim](https://radimrehurek.com/gensim/) - Topic modeling, and other useful NLP tasks like collocation detection, word2vec, and others



## Analytics



- [Search Collector](https://github.com/searchhub/search-collector) - Collecting behavioral signals from a browser



## Rule Systems



- [Querqy](http://github.com/renekrie/querqy) - Query preprocessing & search rule system for applying query-specific boosts, filters, downboosts, etc (ie downboost 'case' category when user searches for 'iPhone')

- [SMUI](https://github.com/pbartusch/smui) - UI for managing Solr collections, which supports (among other things) managing Quergy rules.



# Blogs



- [Lucidworks Blog](http://lucidworks.com/blog) - Fusion & Solr

- [OpenSource Connections Blog](http://opensourceconnections.com/blog) - open source relevance blogging



# Conferences & Meetups



- [Haystack](http://haystackconf.com) - Haystack the Search Relevance conference

- [Activate](http://activate-conf.com) - formerly Lucene/Solr Revolution, focus on Solr+AI

- [SIGIR](http://sigir.org/) - ACM's Information Retrieval conference. Academic focused with an industry day

- [ECIR](http://ecir2019.org/) - European Conference on Information Retrieval

- [MICES](http://mices.co) - MIx Camp E-commerce Search, focused on E-commerce industry across technologists and product managers

- [Search Solutions](https://irsg.bcs.org/) - British Computer Society day covering search and information retrieval



## Past Conference Videos



- [Haystack US 2019](https://www.youtube.com/playlist?list=PLCoJWKqBHERu9Fe0W12D7XKwGT2eoJJNU) - Youtube Playlist of Haystack 2019 talks.   



# Training



- [OpenSource Connections Training](http://opensourceconnections.com/events/training) - Solr & Elasticsearch relevance, Learning to rank, NLP training and others

- [Elastic training](https://www.elastic.co/training/) - a smattering of classes that can help with relevance like deep diving into analyzers, etc

- [Lucidworks training](http://lucidworks.com/training) - classes covering Solr + Lucidworks Fusion



# Hosted Cloud Based Open Source Search



Cloud-based Solr, Elasticsearch



- [Bonsai](http://bonsai.io)

- [MeasuredSearch](http://measuredsearch.com)

- [Elastic Cloud](https://www.elastic.co/cloud/)