Choosing between SimHash and MinHash for a production system

Choosing between SimHash and MinHash for a production system

By : cherriz
Date : November 22 2020, 10:33 AM
hope this fix your issue Simhash is faster (very fast) and typically requires less storage, but imposes a strict limitation on how dissimilar two documents can be and still be detected as duplicates. If you are using a 64-bit simhash (a common choice), and depending on how many permuted tables you are capable of storing, you might be limited to hamming distances of as low as 3 or possibly as high as 6 or 7. Those are small hamming distances! You'll be limited to detecting documents that are mostly identical, and even then you may need to do some careful tuning of what features you choose to go into the simhash and what weightings you give to them.
The generation of simhashes is patented by google, though in practice they seem to allow at least non-commercial use.
code :

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Choosing the right methodology for developing a system such as Control Monitoring System

Choosing the right methodology for developing a system such as Control Monitoring System

By : user2780036
Date : March 29 2020, 07:55 AM
I wish this help you The defence industry often uses some variant of MIL-STD-498 or its successor IEEE 12207. These are more technically oriented than RUP and less concerned with, well, selling consultants for Rational quite frankly.
python simhash import issue [github.com/seomoz/simhash-py]

python simhash import issue [github.com/seomoz/simhash-py]

By : Mo Haris
Date : March 29 2020, 07:55 AM
it should still fix some issue I've installed simhash using below command , I've installed it via an another method.
code :
git clone https://github.com/seomoz/simhash-py.git
cd simhash-py
git submodule update --init --recursive
sudo python setup.py install
Feasibility of choosing EC2 + Docker as a production deployment option

Feasibility of choosing EC2 + Docker as a production deployment option

By : Cynthia Lovato
Date : March 29 2020, 07:55 AM
will be helpful for those in need What you are describing is a "traditional" single server environment and does not have much in common with a microservices deployment. However keep in mind that this may be OK if it is only you, or a small team working on the whole application. The microservices architectural style was introduced to be able to handle huge, complex applications with large development teams that require to scale out immensely due to fast business growth. Here an example story from Uber.
Please read this for more information about how and why the microservices architectural style was introduced as well as the benefits/drawbacks. Now about your question:
SimHash implementation in Java?

SimHash implementation in Java?

By : user3827758
Date : March 29 2020, 07:55 AM
it fixes the issue btw. It looks like Google has patented the algorithm. If you are in US, successfully compete with Google, and do not have own parent portfolio, then do not tell them you are using it.
An implementation in C
What more advantageous minhash over simhash?

What more advantageous minhash over simhash?

By : pedro1
Date : March 29 2020, 07:55 AM
I wish this help you Simhash is faster and typically has smaller memory requirements than minhash, but it is limited by the fact that it can only detect very close similarities. If two items differ more than a small amount, their similarity will not be detected. Minhash, on the other hand, can be used to detect even quite distant similarities, such as items that have only 5% similarity to each other. Simhash is also a little more complex to understand.
Minhash relies on generating multiple hashes per item, e.g. commonly somewhere between 20 and 400 64-bit hashes. These hashes all need to be stored, along with the ID of the item they belong to, indexed by hash. To find all items that have e.g. 50% estimated similarity to a given item, you must find all other items that share at least 50% of the given item's hashes. This may involve enumerating a fairly large number of hash-itemID pairs.
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