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Guided Search
Principle The primary intent behind guided search is to direct the user in getting accurate or close to intended Search results. This method helps the user to narrow down possibilities by reducing noise or distractions and strategically narrowing down search, in turn reducing frustration. Guided Search can also be extended to keep track of user's search history and to prompt most popular search terms as an auto-suggest feature as well.
Methodology Logic behind Guided Search is to classify all the courses in an enterprise based on Title and/or Short description of the Course. Classification is performed through IBM Watson's Natural Language Understanding suite. IBM's NLU suite has the ability to analyse the presented text and its metadata to extract concepts, entities and related categories using a simple API framework. The categories are presented as a multi-level hierarchy and can be further tuned and processed.
Categories and entities are fed into Google's keyword planner to extract related keywords. Related keywords will be the most frequently searched keywords related to each category. By this we ensure maximum probability of search hits for items even if the related term is not present in the title or short description of a course.
WorkFlow
Please find below the link to Guided Search Workflow. https://drive.google.com/file/d/1ph11m0tPFEv5HDb1tcGu1SyktJVsKpER/view?usp=sharing
