Questions tagged [search-engine]

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An exhaustive, representative test database in phrase search algorithm

For a phrase searching algorithm, imagine the goal is to search for a name phrase and return matched results based on a pre-defined threshold. For example, searching for "Jon Smith" could return "Jon ...
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14 views

Topic modeling / classification for a list

I'm trying to categorize a list of keywords to have a better overview of the different topics I'm targeting (this is for search engine optimization). I know there are plenty of algorithms to read a ...
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25 views

Probabilistic search engine user behavior markov models

I am considering the following probabilistic Markov model of actions of a user on the results page of a search engine. The user examines the first result, with a probability $A$ he is satisfied with ...
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1answer
18 views

Is Elastic Search recommended if attribute getting search is not a huge text document?

We are currently developing a system with MEAN stack with Mongodb at backend. We have employees name, and Ids in our system and our client wants to get pretty good (Read: Google Like) search in our ...
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1answer
200 views

scalable tools to build kNN graph over sparse data

I'm looking for scalable tools to build kNN graph over sparse data points. The dimension and number of data points can be both up to millions. What I have tried already: sklearn.neighbors....
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0answers
50 views

Can Google really bring back billions of results in a blink of an eye (almost) [closed]

I was always fascinated by Google's search ability, a great achievement by Google and other search engine providers also, but more so a collective human talent and ability that makes me appreciate our ...
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0answers
26 views

Search Query Sample Size Determination for validation set

While designing a search system, which searches in N identifiable categories, how many search queries does one need in each category to validate the target metric (DCG) scores accurately (balanced ...
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1answer
145 views

What ML/DL techniques power Youtube/Netflix search systems?

Video platforms like YouTube, Netflix, Amazon prime have an excellent search system - given a search string, find most relevant videos. Which Machine Learning /Deep Learning techniques used for this? ...
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1answer
394 views

Finding similar articles in realtime [closed]

I want to build a large document (news article) searchable database, such as when adding a new article I will be able to quickly find X most similar articles from it. What is the right tech/algorithm/...
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1answer
171 views

Best method for similarity searching on 10,000 data points with 8,000 features each in Python?

As mentioned in the title I am attempting to search through 10,000 vectors with 8000 features each, all in Python. Currently I have the vectors saved in their own directories as pickled numpy arrays. ...
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60 views

What is search engine life cycle from information retrieval perspective

I am already aware of usage of information retrieval for search engine. But still trying to understand what can be possible life-cycle phases for a search engine. I mean for a search engine is it only ...
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2answers
425 views

Why do popular search engines not follow the usual AND, OR logic for queries?

I am teaching myself Information Retrieval from Christopher Manning's book (PDF link: http://nlp.stanford.edu/IR-book/pdf/01bool.pdf). I tried Exercise 1.13: "Try using the Boolean search features on ...