I have a website:
10,000 pages, each page represent a category, for example: "Laptops".
On each page I am showing 20 recommended products
99% of the users are anonymous
For each user I have a context (device, user-agent and category)
For each product I have the price and the seller name
I have 2 events: outbound & purchase
I would like to re-rank (re-order, sort) the results for each new anonymous user based on the user context. I would like to re-rank based on performance (outbound & purchase).
Do you have recommendation for Specific algorithm OR tool OR service to do that? I found AWS Personalize very nice but the problem is that all of my users are anonymous so I don't believe it can be effective in my use case.
Amazon Personalize can still be used effectively when most/all users are anonymous. If you track users as visitors using a cookie or local storage, then a visitor's session ID can be considered the userId in Personalize. You will lose the continuity of stitching together the same logical user's activity across multiple sessions but you can still get in-session personalization. This requires calling PutEvents with the visitor's session ID in the sessionId field and excluding the userId field. Then when calling the GetRecommendations or GetPersonalizedRanking APIs, use the visitor's session ID as the userId field. Personalize will consider the event activity for the visitor's session when providing recommendations or reranking items.
If the visitor is a known user or later becomes known (i.e. signs in or creates an account), then pass their user ID in the userId field for PutEvents and GetRecommendations/GetPersonalizedRanking. At the next training, Personalize will associate any prior anonymous events (i.e. those with a sessionId but not a userId) to the user. The key is using a consistent sessionId across the anonymous and known events for the user for the session.
Related
I am working on a function that allows a user to check if their existing device contacts are using our platform, based on phone numbers.
For privacy and security, we are hashing the user's contact's phone numbers on device (salted with the user's id) before sending to our server.
Server side, we then need to hash our entire contacts table (using the user's id as a salt), which is currently being done in a for loop.
We then check this list against the request list, and return the details for any matches.
However, I'm sure there is a more efficient way of doing this, something like computing the hash in a calculated field then including the $request->hashes in a "whereIn" clause.
Could someone give me a pointer on the best approach to be taking here?
The question is, what privacy and security are you achieving by sending hashed value of contact number?
You are hasing the contact in client side(device), that means you are using a key and salt that is available in clinet side already. How can that be a security feature?
If you want to search hashed value in database then it's better to save hashed contract number in a column in the first place. So you can directly run where query in database table.
Ideally, if you really concern about user's contact number you should:
Encrypt the user's contacts in backend/databse not in frontend.
If you need to query for a field in database then you should make a hash valued column that can be matched easily. I mean searchable fields should be hashed so you can run direct query.
Nothing to worry about user's contact security in frontend if you are already passing it trhough Secure HTTP(HTTPS).
Even it a common practice in the industry, to pass a submitted plain password via HTTPS when a user submit it in frontend. It shouln't be a concern of privacy or security.
In the Preventing duplicate Items article, it mentions that you can use a specific combination of fields to determine if there are duplicate items or not. And specifically OAuth institutions, it says the combination of fields are: customer's user ID and institution_id. I'm confused what the customer's user ID is. I'm not familiar with this identifier. Can somebody explain?
The customer's user ID would be a value in your own application's business logic, not part of the Plaid API. In most Plaid use cases, alongside an Item, you would typically store some kind of user id that associates it with a specific user in your system. The logic here is saying that if the same end user in your system has multiple Items with the same institution, they are probably duplicate Items.
I am building the inventory service, all tables keep track the owner of each record in column createdBy which store the user id.
The problem is this service does not hold the user info, so it cannot map the id to username which is required for FE to display data.
Calling user service to map the username and userid for each request does not make sense in term of decouple and performance. Because 1 request can ask for maximum 100 records. If I store the username instead of ID, there will be problem when user change their username.
Is there any better way or pattern to solve this problem?
I'd extend the info with the data needed with from the user service.
User name is a slow changing dimension so for most of the time the data is correct (i.e. "safe to cache")
Now we get to what to do when user info changes - this is, of course, a business decision. In some places it makes sense to keep the original info (for example what happens when the user is deleted - do we still want to keep the original user name (and whatever other info) that created the item). If this is not the case, you can use several strategies - you can have a daily (or whatever period) job to go and refresh the users info from the user service for all users used in the inventory, you can publish a daily summary of changes from the user service and have the inventory subscribe to that, you can publish changes as they happen and subscribe to that etc. - depending on the requirement for freshness. The technology to use depends on the strategy..
In my option what you have done so far is correct. Inventory related data should be Inventory Services' responsibility just like user related data should be User Services'.
It is FE's responsibility to fetch the relevant user details from User Service that are required to populate the UI (Remember, call backend for each user is not acceptable at all. Bulk search is more suitable).
What you can do is when you fetch inventory data from Inventory Service, you can publish a message to User Service to notify that "inventory related data was fetched for these users. So there is a possibility to fetch user related data for these users. Therefore you better cache them."
PS - I'm not an expert in microservices architecture. Please add any counter arguments if you have any.*
Is there any way how to uniquely identify user who caused an event? I want to extract all events from Appsactivity service, which belongs to specific user.
The problem is, that service.activities().list() returns also activities of other users of shared file, even if this request has set userId which indicates the user to return activity for. It returns all visible activities to given user and therefore it contains activities of other users.
I tried to filter list, but it seems to be impossible - events contains simple User object which does not have userId or userEmail.
One way is to compare user's photo url which is avalaible in appactivity User object. Note, that this can be done only if url is not null, otherwise it won't uniquely identify user.
I'm working on a affiliate system in grails where users can create individual links and guests who are visiting this links get an cookie with an unique session id. If some of the guests come a few days later to my webApp again i want to know that they've been here already and wich user brought this guest to my website in the past.
How would you implement this in grails? I would say with filters. But how should i implement such a filter? Using the grails default session id wouldn't be good, because it gets invalidated and i can't upgrade the grails session lifetime as much because of the servers memory (RAM). Or is the sessionId always there and gets only refreshed, so the session lifetime in grails could be 1 hour and i'm able to track everything longer than an hour too?
Or should i set a new cookie with a unique session id especially for my purpose?
You probably need at least one filter and one cookie.
When the visitor comes to your site for the first time, I'm imagining that you define the affiliate ID as a request parameter. You probably need to create a before filter to see if the visitor already has a cookie set.
If you're just trying to associate sales with an affiliate then you don't need a unique visitor ID, just the affiliate ID that referred the visitor. Inside your filter, if the affiliate ID request parameter is present but there is no cookie, you can set the cookie. Then, when you are processing a sale, you can check if the affiliate cookie exists.
If you are trying to get more advanced metrics then you probably will need two filters (or one filter that does 2 things). One to set the cookie, and one to track the visit. Once you know the things you want to track, you can also put flag's in the user's session to keep your metrics accurate (i.e. if you don't consider each request a visit you may want to put a flag in the user's session after you increment the number of visits for the visitor.)