What is the most appropriate approach to handle queries when splitting data when evaluating learning to rank models?
Query-level features and under-sampled queries, how to handle them? Find it out, with our new Learning to Rank implementations
How eDismax sow parameter works The sow(split on whitespace) is an eDismax query parser parameter [1] that regulates aspects of query time text analysis that impact how the user query is parsed and the internal Lucene query is built.It is particularly relevant in multi-term and multi-field search.If sow=true : first the user query text is…
