Closed. This question needs to be more focused. It is not currently accepting answers.
Want to improve this question? Update the question so it focuses on one problem only by editing this post.
Closed 9 months ago.
Improve this question
We would like to implement a new feature in our app where users can see some stores sorted by proximity. Currently in our database we just have fields of string (country, state, city, address). In this situation which would be the best way to implement this feature? Create a script to discover the geolocation of every row? Or is there something better/simpler?
You need to convert country/state/city/address to latitude & longitude. Having script to convert all your data to new format is first step you should done. When you have lat/lng points then you can do some math to find stores by proximity.
Related
Closed. This question needs to be more focused. It is not currently accepting answers.
Want to improve this question? Update the question so it focuses on one problem only by editing this post.
Closed 7 days ago.
Improve this question
I would like to use lines in captured photos to detect and correct image skew. How would I do this in Go? Most of the packages I've seen on github don't seem to support edge detection or some way to figure out a contiguous line or perhaps a couple markers like QR codes use.
Closed. This question needs to be more focused. It is not currently accepting answers.
Want to improve this question? Update the question so it focuses on one problem only by editing this post.
Closed 2 months ago.
Improve this question
I need to do a job where I need to place a particular object(Hanger) in a standard distance.
The rules are:
We should try to place each object in a given standard distance from each other.
There is a max distance from one object to adjacent object which in no way should be violated.
From the start and end also similar standard and maximum distance rule applies.
And there are some portions given where the objects placement needs to be avoided.
I'm not even able to start... which algorithm to use.
If anyone has any suggestion how I can achieve this or some related source please let me know.
Closed. This question needs to be more focused. It is not currently accepting answers.
Want to improve this question? Update the question so it focuses on one problem only by editing this post.
Closed 6 years ago.
Improve this question
I want to store user's current location when they log in and display only those users on map which are at a particular distance away from current_user(say 20km).
Popular ruby Geocoder gem has similar functionality. Please checkout the Ryan's screencast for detail.
Closed. This question needs to be more focused. It is not currently accepting answers.
Want to improve this question? Update the question so it focuses on one problem only by editing this post.
Closed 7 years ago.
Improve this question
What is the data model to store millions of record efficiently in the aerospike database?
Use case : storing millions of bid(value) for a particular id(key) and
also need to iterate over the values and operate on them as fast as possible and store them separately.
Currently :using set as the key and bin as the value.
Closed. This question needs to be more focused. It is not currently accepting answers.
Want to improve this question? Update the question so it focuses on one problem only by editing this post.
Closed 9 years ago.
Improve this question
I have a 20,000 collection of master articles and I will get about 400,000 articles of one or two pages everyday. Now, I am trying to see if each one of this 400k articles are a copy or modified version of my collection of master articles (a threshold of above 60% plagiarism is fine with me)
What are the algorithms and technologies I should use to tackle the problem in a very efficient and timely manner.
Thanks
Fingerprint the articles (i.e. intelligently hash them based on the word frequency) and then look for statistical connection between the fingerprints. Then if there is a hunch on some of the data set, do a brute force search for matching strings on those.