Closed bigrig2212 closed 6 years ago
It's honestly good for any ranking optimization. Spellchecking, autosuggest, recommendations, search... LTR is a pretty broad subgrouping under LTR that covers optimizing any ranking as a function of features.
The features would be quite different. They'd likely be more related to understanding the intend of the question. With lots of NLP and what-not.
The overall topic of 'question answering' is very broad. Taming Text has some introductory chapters on the topic.
Are you wanting to understand the query or optimize the ranking of the query's search results?
I'm wanting to pick the best answer (or top 3 answers) out of a large number of possible answers. So, depends what you mean by "understand." I think that optimizing ranking would achieve the desired effect, given a great dataset of answers to start - and a reliable feedback loop (which I have).
(just ordered Taming Text. thx). Also just received my copy of Relevant Search. Excited to dive into it!
Also have a hunch that there may be some interesting opportunities for pre-processing using AWS comprehend API...
Thanks for the question @bigrig2212, don't hesitate to reach out to the LTR team on Relevancy Slack for further questions: http://o19s.com/slack
Is the solution ideally suited to keyword based search optimization - or do you think it would work also with longer form questions (with a lot of chaff in them)?
ie: "Hi. I can't find the warranty information for my BlahX98. Can you send me the warranty stuff for it? Thank you for the help."