Scalable Query N-Gram Embedding for Improving Matching and Relevance in Sponsored Search.
Xiao BaiErik OrdentlichYuanyuan ZhangAndy FengAdwait RatnaparkhiReena SomvanshiAldi TjahjadiPublished in: KDD (2018)
Keyphrases
- n gram
- sponsored search
- statistical language modeling
- language model
- user clicks
- search engine
- language modeling
- click prediction
- relevance feedback
- vector space
- user queries
- online advertising
- text classification
- click through rate
- user behavior
- document ranking
- information retrieval
- query terms
- query expansion
- query processing
- document relevance
- query formulation
- click logs
- naive bayes classification
- web search
- test collection
- search queries
- user experience
- user feedback
- average precision
- query suggestion
- relevance model
- click models
- data sources
- machine learning
- bayesian networks
- keywords
- retrieval systems
- web retrieval
- digital libraries
- relevance scores
- knn
- retrieved documents
- relevance judgments
- text mining
- document retrieval