DiceTechJobs/ConceptualSearch
Train a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs
This project helps search engine managers improve the relevance and recall of their search results by moving beyond simple keyword matching. By analyzing your organization's specific documents, it learns the underlying concepts and relationships between words. This allows your search engine to understand the intent behind a search query and provide more accurate results, even if the exact keywords aren't present. It takes your existing document corpus as input and outputs synonym files that can be directly integrated into search platforms like Solr.
259 stars. No commits in the last 6 months.
Use this if you are managing a search engine for a specialized domain and need to enhance search quality by enabling conceptual or semantic search, rather than just keyword matching.
Not ideal if your search needs are very basic, you don't have a specific document corpus to analyze, or you are not using a search engine that supports synonym file integration.
Stars
259
Forks
54
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Apr 26, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/DiceTechJobs/ConceptualSearch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
openviglet/turing
:sparkles: :dna: Turing ES - Enterprise Search, Semantic Navigation, Chatbot using Search Engine...
nixiesearch/nixiesearch
Hybrid search engine, combining best features of text and semantic search worlds
DiceTechJobs/SolrConfigExamples
Examples of Solr configuration entries for Solr plugins and Conceptual Search\Semantic Search...
DiceTechJobs/RelevancyFeedback
Dice.com's relevancy feedback solr plugin created by Simon Hughes (Dice). Contains request...
Sherafgan/SVSE
Semantic Video Search Engine