query-understanding

There are 3 repositories under query-understanding topic.

frutik / awesome-search
Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness
autocomplete-suggestions ecommerce-search evaluating-search knowledge-graph learning-to-rank natural-language-processing query-understanding ranking relevance-algorithms relevant-search search search-engine search-engines search-intents search-ui search-ux semantic-search spelling-correction suggestions synonyms
Language:HTML 1489
ielab / searchrefiner
Systematic Review Query Visualisation and Understanding Interface
systematic-reviews query-understanding query-reformulation visualisation
Language:HTML 17
iai-group / cikm2018-intentsKB
IntentsKB: A Knowledge Base of Entity-Oriented Search Intents - CIKM'18
search-intent entity-oriented entity-oriented-search-intent semantic-search understanding user-intent search-engine search-engines query-intent cikm-2018 cikm2018 cikm-18 cikm18 query-understanding knowledge-base knowledgebase
10
iai-group / ecir2018-intents
Towards an Understanding of Entity-Oriented Search Intents - ECIR'18
search-intent entity-oriented entity-oriented-search-intent semantic-search understading user-intent search-engines search-engine query-intent query-intent-classification intent-classification ecir-2018 ecir-18 ecir2018 ecir18 test-collection query-understanding
9
ercsonusharma / DHS-2019
Presentation and Code for talk at Conferences - MLDS-2020 and DHS-2019
query-understanding search elmo tensorflow tensorflow-serving bi-lstm-crf keras-tensorflow deep-learning tf-hub
Language:Jupyter Notebook 6
iai-group / sigir2017-query_types
Target Type Identification for Entity-Bearing Queries - SIGIR'17
sigir-2017 sigir-17 sigir17 query-types test-collection entity-search query-intent query-understanding target-types target-type-identification entity-bearing-queries sigir2017
5
derrdavid / omni-rag
A robust Retrieval-Augmented Generation (RAG) system for noisy, multi-intent queries using LLM-based query understanding. Implemented in Python with PostgreSQL and OpenSearch for retrieval and storage.
paper query-understanding rag retrieval-augmentation-generation vector-search
Language:Python 0