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