Questions tagged [cosine-similarity]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
0 votes
2 answers

How do I choose a good treshold for classification (using cosine similarity scores)?

I am using openai's text-embedding-ada-002 embeddings model to do a semantic search on a database of articles to find articles that are most related to a given ...
Stefan's user avatar
  • 1
1 vote
1 answer

Cheap differentiable similarity metrics of vectors

I am looking to compute the similarity between a large set of vectors during neural network training - a process that is considerably expensive when choosing the wrong metric. So far, I am making use ...
postnubilaphoebus's user avatar
0 votes
0 answers

Word Embeddings but for Logical reasoning in custom knowledge GPT-3.5 bot

So I have created a chatbot using GPT-3.5 turbo. I have a vector database that holds vector embeddings of brands, ratings, commission percentages, outlets, tags, etc. Here's how the system is designed....
Shahrukh Khan's user avatar
0 votes
0 answers

model to generate suggestions for improving the cosine similarity of two documents?

I am working on a system that compares a source document to a target document and then generate alternative variations of the source document. The goal is to reach a higher cosine similarity between ...
Samewise's user avatar
1 vote
2 answers

Given embedding vector A and vector B, how to find top k embedding vectors such that they are similar to vector A and dissimilar to vector B

Which would be better approach for getting top k embedding vectors such that they are similar to embedding vector A and dissimilar to vector B. Approach 1: calculate ...
Shubham's user avatar
  • 11
0 votes
2 answers

How to reduce the number of clusters produced by the Markov Clustering Algorithm?

I have used the Markov Clustering Algorithm (MCL) to cluster tweets, based on their similarity. However, I got a too high number of clusters, and most of the clusters have only one tweet. Any ...
Adnan Hussein's user avatar
0 votes
0 answers

How to calculate cosine similarity for classification when you have say 10000 samples belonging to two classes have a bunch of samples

Does anyone have experience with using Cosine Similarity for text classification? I see a number of articles on how to find cosine similarity between documents using Doc2Vec, Gensim, etc. I have a ...
Sanny28's user avatar