Context Setting
On the top right we see a generic search, that may use Apache SolR. Below we see structured search.
If I wanted to search for "Levis Great Britain Mens new arrival Slim 32" , I add "Great Britain" only to set the regional context. So let's analyze different ways in the current system:
1. On the Levi's site the search "Mens New Arrival Slim 32" does not provide any result
2. On the Levi's site the search: "Slim 32" provides a lot of data of which a lot is unrelated. For example, "Boot Cut" is displayed whereas I was looking for
3. What if we use Google? Many do this for most online shopping. The top 10 searches provide a lot of context
So, the question is what can be done here? Why utilize Google, when we can implement a change that keeps the user from leaving the site and possibly getting distracted with counter offers.
Proposal
Using Text Analysis in HANA:
POC Snap Shots:
Scenario 1: Searching on "Slim 32", results in: "Slim" gets assigned to "FIT", "32" gets assigned to both "WAIST" and "LENGTH". Conversion from unstructured to structure search happens.
Scenario 2: Searching on "Originals waist 32", results in: "Originals" gets normalized to "Original" the base form and maps to "FIT", "32" gets assigned only to "WAIST". Conversion from unstructured to structure search happens
Scenario 3: Searching on "Shirts", results in a handover to the existing platform search environment as currently this item type is not mapped within Text Analysis in HANA.
Please see the video of POC in action:
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