Query Embeddings - Web Scale Search Powered by Deep Learning and Python

Query Embeddings - Web Scale Search Powered by Deep Learning and Python

EuroPython Conference via YouTube Direct link

RESULTS

20 of 21

20 of 21

RESULTS

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Query Embeddings - Web Scale Search Powered by Deep Learning and Python

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  1. 1 Intro
  2. 2 TRADITIONAL SEARCH
  3. 3 OUR SEARCH STORY
  4. 4 SEARCH PROBLEM - OVERVIEW
  5. 5 ENTERS DEEP LEARNING
  6. 6 EXAMPLE QUERY: SIMS GAME PC DOWNLOAD
  7. 7 LEARNING DISTRIBUTED REPRESENTATION OF WORDS
  8. 8 WORDZVEC DEMYSTIFIED
  9. 9 NEURAL PROBABILISTIC LANGUAGE MODELS
  10. 10 EXAMPLE: SKIP-GRAM MODEL
  11. 11 WORD VECTORS CAPTURING SEMANTIC INFORMATION
  12. 12 WORD VECTORS IN 20
  13. 13 QUERY VECTOR FORMATION - SIMS GAME PC DOWNLOAD
  14. 14 TERMS RELEVANCE
  15. 15 QUERY VECTOR INDEX
  16. 16 FINDING CLOSEST QUERIES
  17. 17 ANNOY (APPROXIMATE NEAREST NEIGHBOR MODEL)
  18. 18 ANATOMY OF ANNOY
  19. 19 STORING WORD EMBEDDINGS & QUERY-INTEGER MAPPINGS
  20. 20 RESULTS
  21. 21 CONCLUSION

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