in this case synonym
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[MUSIC] Hey everybody welcome to another exciting episode of Data Exposed, Im your host, Scott Cline. With me, back by popular demand, Liam Cavanaugh. >> Hey, thanks for having me again. >> How are you doing? >> Its great, I love the new studios. I know youve had it for a while, but man, this is beautiful. I dont know which camera to look at, this is so cool. >> About a month, weve had this. >> So awesome, its been a long- >> This is, so, Liams here, because we were just walking down the hall, and I ran into him. Hes like, lets do a show. Im like, I got some availability, come on by. >> So we just got it going. Well see how this goes. >> All right, lets see how this goes. Obviously youre here to talk about Search, but Search as far as >> The what are we talking about? >> So we got a couple of new things- >> Yup. >> So its been a while since weve been there so one of the thing I wanted to go through is not only some of the analytics that you can do. >> Okay. >> But one of the other cool features called synonyms. >> Okay. >> That weve added. Some of the uses and the reasons why you may wanna do that. >> Okay, sweet all right lets go. >> Shall we should do it? Okay so what I have here is a search service and this is a real estate dataset that we created its. Its 5 million listings of randomly created listings with descriptions, geolocation around the US. So its a pretty cool dataset to use, but what I thought Id do is use this as a basis to show how we can make use of something called synonyms. >> Okay. >> Which is the idea, if you think about what people are searching for, its not always an exact match to what is actually >> Yep, mine just went off, so well just keep going [LAUGH]. >> Ignore that. So what people are searching for is
not always an exact match to what you have in your content. So what I wanna do is, through both the analytics as well as the synonyms, show how we can start adding this customized dictionary. >> So that as people start searching for those words you can match them to the right content. >> Very good. >> So what Im going to do is first of all Im going to tie it into PowerBI. And if you just click on services here. What we can do is we can link into our Azure search service where we are actually logging the information. So if I go down just a little bit here youll see that Azure search is one of the entire here, Im gonna choose get and what its gonna do is say okay where are you actually logging all of your search operations. So the way that I find that is by just going into here and under all settings. >> Enter your search service. >> Yeah so for my search service. We have this thing called Search Traffic Analytics. >> Okay. >> And all you need to do is you just need to specify an Azure storage account for where youre going to log this. This is completely optional whether you log the metrics such as latency, number of queries. As well as the operations. So what this is gonna do in a second, is just come back a give me my storage account for where this is actually gonna be logged. >> Okay. >> So give that a second, its taking a second to connect in here, there we go, so we see here, >> I have a storage account called azsearchrealestate. And Im logging up to 120 days of search queries. >> Okay. >> As well as all the metrics for the 120 days. And so thats what Im going to connect to. And by the way, if anyone actually wants to give this a try, Ive made this storage account publically accessible. So you can just put in 120 days with the data, you can put, easy search real
estate. Hopefully I typed that right. And if it was a private one, it would ask me for my credentials to actually allow Power BI to connect into it. Since its public its just going to go in, connect, start importing all that historical data. And we have some pretty nice dashboards that allow you to visualize whats happening and going to a lot of the data. Well give this another second to load up. And what well see in this is, not only things like what are the most common searched search requests that are coming in. >> Yeah. >> But also, probably even more importantly, what are people searching for but not finding results. >> Right. >> Not getting any data. Okay. >> So, see if this comes up here. So what we were talking about is this idea that if we can see here what people are searching for, here are the most common search queries. What youll notice here in the search results, there is, if we look into this, theres something called hashizaki, which I dont know what that is, but lets find it out. If we type in hashizaki and see what comes up here. So this is some sort of highend appliance. So apparently what happens is when people search for real estate theyll not only search for addresses, locations. But theyll look for attributes for that real estate site. So In this particular case this person was interested in a house that had this type of appliance. But realistically what they probably mean is they really want to have a home that has a high end appliance in it. >> Right. >> So, in fact, if we actually give this a try here. Now I go back to my postman tool. >> Okay. >> This is nice for being able to do search queries. I can search for everything. I can search for homes in Seattle. >> Yeah. >> I can do this. pull zachy. Here, as you can see, this is what we expected, theres no results. Right? >> Okay. >> So how do we fix this?
So what Im going to do is to create something like the Synonym Math. And this is really a dictionary of different words that we can say that if somebody types in this word. Here are the different variations to it, if you see these different variations in it, thats a good result. >> So you can see here I have a synonym map called realestate-synonyms. And Im gonna add in not only this word but a number of other different highend appliances that can all map to the word highend appliance in there. So I can create that synonym map. So now the Azure search service has that dictionary. And you can keep updating it. You can keep loading in more synonyms- >> So as you learn about Theres new high end appliances or you learn more about the differences you can come in and modify your synonym. >> Exactly, and thats why this page right here is so handy because I can keep refreshing it. Every once in a while. >> Check for what are the common search terms and it could be changing. You can just see whats new and then come back and update that. So Ive created the synonym map and all I need to do is link it to a specific field. So for example if I get my index here, I can just get the schema of the index. And by the way this is a preview feature, so all of this has to be done today through the API we havent brought it into the portal yet >> Okay >> But you can see here if I go down to my description field, what I can do is I can create this synonym map right here and refer to it by name right here. So whenever I send that in and create the, apply that, now when I start doing searches using that word, were gong to get the vital results that come back from this. So now when I type in this word, we can see that somewhere in here stainless steel or high end, any of
those mattress are gonna comment >> So you can see how we start tuning this more and more using this very simple tool. >> That is awesome. >> Thanks. >> So right now you have to do this through the APIs? >> Thats right. >> But pretty soon youll be able to do all this mapping and things right though the portal? >> Yeah, thats the idea. So, the preview API is kinda our experimental platform, where we can put it with these new features and allow the customers to give them a try, give us feedback. And then as we have it solid, we can move it into the official API, and allow you to then use it in the portal. >> So did this come about because you had a lot of people going, you know what? Im not getting a lot of results from my searches, even though Azure search is awesome, were not getting. Im typing this, Im looking for x but Im not getting any results. >> Yeah, thats, its exactly right. Theres all kinds of different ways that people look at getting relevant results >> We had done things like the handling the spelling mistakes, doing phonetic search so words that sound similar. But something like this is just a different variation and we see it across every different industry. Think about in the medical field, think about all the different variations for drug names. >> Right. >> That there are, that they want and its very specific to their industry so they need to provide their own dictionary, put it in >> So yeah this has been one of the top, Wes, and so Im happy to finally have this- >> This, yeah this is great, and I think thisll make just the service better, across services, right? >> Yeah agreed. >> Cool, awesome. >> Thanks very much >> All right Liam, thanks for coming, we look forward to having you back to talk about other cool stuff that you guys are thinking of creating over there. Hey thanks for watching everybody, and well see you next time [MUSIC]
tags:
azure search, assure, cloud search
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