I have a project I'm working on that involves working with warehouse deals on Amazon. I've been looking and trying to find a way to pull only warehouse deals using the Product Advertising API. So, question #1 is, is there a way of achieving this?
If there is not a way, then question #2 is, if I pull a list of items, is there a way of determining whether any one of those items is a warehouse deal or not?
Essentially, I need a way to find warehouse deals using the API. Does anyone have any ideas I could try out?
In some regions Warehouse Deals are simply BrowseNodes. This is the case in DE. In UK and US it seems to be different. If your region works like DE:
1: You could include the Warehouse Deal BrowseNode in your search request. This does not work with searches in the All and Blended search indexes.
2: You can use the BrowseNodes response group in your search or ItemLookup calls to find out what BrowseNode an item belongs to. This gives you the whole ancestry of the BrowseNode. You just have to follow it up and check it against a known Warehouse Deals BrowseNodeId.
http://docs.aws.amazon.com/AWSECommerceService/2013-08-01/DG/RG_BrowseNodes.html
Related
I am trying to create an app that will help users find restaurants/movie theaters/malls/etc. to hang out based on ratings and distance. Other than just the place itself, I would also like to know more detailed information about the place. For example, if I were to look for parks, I would also like to know if theres a basketball or tennis court there. Ratings and popularity would also be an important aspect to prioritize suggestions.
After looking through all three of the APIs, I could not really find any substantial differences other than their search limits. Could anyone really differentiate each API for me? Maybe even recommend one based on my specific need?
Thanks!
The Foursquare API would fit this use case perfectly because you can supply very specific filters through the API. Also, they have extensive coverage around the world, unlike Google or Yelp.
I would check out the venues/explore endpoint and use a categoryId of Parks. You can use a query parameter of "basketball" or "tennis" to find parks that have courts for these.
In our project, we use search engine, but the result need to be ranked based on each user's interest, similar to recommendation according to users' keyword.
If we separate the two system, it would cost a lot time.
Is there a better way to combine Search Engine and Recommend System together?
Or is there a simple way to customize my ranking strategy to achieve this?
This is what we were trying to do in our project as well. There are two things while solving this problem - Relevancy vs Personalization. You should look at how much of personalization is ruining the relevancy of the query. For example, if I'm suggesting news, then it makes sense to suggest based on location. I hope you already would have analyzed the use cases.
The way that I followed was - after getting the results on the search, then re-rank results to give personal suggestions. For example if I was searching for a specific algorithm to code, then getting the result set and re-ranking on my preference, lets say on, Java (based on my previous history) will make sense. In any case relevancy is of utmost importance and then we fit in user's preferences.
Again the use case is important, if this was for a news search, then directly querying and retrieving on location is best way to do it.
I want to use Azure ML to find related products using information from receipts from a store.
I got a file of reciepts:
44366,136778
79619,88975
78861,78864
53395,78129,78786,79295,79353,79406,79408,79417,85829,136712
32340,33973
31897,32905
32476,32697,33202,33344,33879,34237,34422,48175,55486,55490,55498
17800
32476,32697,33202,33344,33879,34237,34422,48175,55490,55497,55498,55503
47098
136974
85832
Each row represent one receipt and each number is a product id.
Given a product id I want to get a list of similar products, i.e. products that was bought together by other customers.
Can anyone point me in the right direction of how do to this?
This seems a good fit for their frequently bought together service (https://datamarket.azure.com/dataset/amla/mba). You may have to preprocess the dataset to get it in the required format. This service has a web UI as well: https://marketbasket.cloudapp.net/
This is a typical problem for Recommender, you can use a model called Machbox recommender to cover such a problem.
Recommender typically use Scoring about items to propose and the use some tricky calculation to predict scores for items users had not scored yet ( a score would be typically 1 user bought the item, 0 he did not)
If you need more details let me know ..(you have access to a free version of Azure ML where you can try all this)
Regards
I'm trying to organize a solr search engine. I've already set up the misspelling system and the suggestions.
However I can't seem to find how to retrieve the top 10 most searched words/terms/keywords in solr/lucene. How can I get this? I want to display those on my homepage.
Solr does not provide this kind of feature out of the box. There is the StatsComponent, that provides you with all kind of statistics, but all of those are numeric only.
Depending on how you access solr (directly or via your own app) you could intercept all calls an log the query string. I did this in a recent project where I logged a queries to a database. If you submit all keywords to an other core on your solr server, you can faceting queries on your search terms as described by Hyque
You could use a facet for retrieving the Top X words like this:
http://yourservergoeshere/solr/select?q=*&wt=xml&indent=true&facet=true&facet.query=*&facet.field=message&facet.limit=10&facet.minCount=1
The value of facet.field depends on the field you like to search in. With facet.limit you'll (obviously) limit the amount of results to 10. You'll find the facet results at the end of the results, starting with "facet_counts"
Edit: I really should go to bed earlier. I didn't see the "most searched" in your question. Sorry for that.
Apache Solr does not provide any such capability as of today. There is a desire for this and a JIRA ticket corresponding to it. You can vote for it if you'd like to see it in Solr some day: https://issues.apache.org/jira/browse/SOLR-10359.
The stats component provides information around statistics, but it's mostly numeric in nature. You could parse server logs and come up with a way to build a Frequently Searched Terms (e.g. pump those logs in SiLK or Kibana for visualization).
If you have the ability to change the front end and add some javascript code to the UI or can intercept the search request and make an async or batch calls to APIs for tracking, you can use SearchStax Analytics that provides Search Analytics that tracks searches, clicks, cart actions, revenue, etc.
I need certain custom entity fields to calculate and display values based on operations on the data in the system.
For example an a booking system implementation with contacts and custom entity: tickets. There is a one-many relationship between contact and tickets.I would like to create a field that calculates and displays in the contact form:
frequent flyers: more than 10 tickets bought.
a field that displays yes or no based on whether a first class ticket has ever been purchased. Ticket ref would start with say, FCxxx
If this isn't possible perhaps someone could suggest an alt method for displaying this info?
This is possible and you have some ways to do that: Workflow or Plug-in.
If you make a lot of calculations i think the best way is doing a plug-in. You can register in post create event of tickets entity and there you can make all this calculations and update the custom fields of contact entity.
You can check some tutorials about developing a plug-in:
http://mscrmshop.blogspot.pt/2010/10/crm-2011-plugin-tutorial.html
http://msdn.microsoft.com/en-us/library/gg695782.aspx
http://crmconsultancy.wordpress.com/2010/10/25/plugins-in-crm-2011/
Specific information about registering a plug-in:
http://msdn.microsoft.com/en-us/library/hh237515.aspx
In SDK you can find more examples.
As far I'm aware, it's not possible to achieve without coding. So, if you're looking for a way to customize it by mousing, you might be just out of luck.
If you wish to display that information upon retrieval of the a customer, it's probably fastest to get it using JavaScript. You can add a custom script to onload event. However, that means that you'll have to write JavaScript so if you're not into coding you'll have problems.
If you do know how to code, perhaps creating a plugin with C# is the most preferred way (that's what I'd do at least). The advantage of that lies in extensibility, should you realize that you wish to perform more operations.
Also, if you wish to store the computed values, you'll have to go with a plugin. Otherwise, only GUI operations will perform the computations. If a program will enter/retrieve data in the background, you can't rely that the values will be computed, unless you listen to the messages of Retrieve, Create etc.