S

SBERT KFOLD User Portfolio To Job Descriptions

Developed by Nashhz
A fine-tuned sentence transformer model based on sentence-transformers/all-MiniLM-L6-v2 for calculating semantic similarity between sentences and paragraphs.
Downloads 26
Release Time : 12/23/2024

Model Overview

This model maps sentences and paragraphs to a 384-dimensional dense vector space, suitable for tasks such as semantic textual similarity, semantic search, paraphrase mining, text classification, and clustering.

Model Features

High-Precision Semantic Understanding
Accurately captures semantic relationships between sentences and paragraphs to compute similarity scores.
Efficient Vectorization
Converts text into 384-dimensional dense vectors for subsequent processing and analysis.
Multi-Task Support
Supports various natural language processing tasks such as semantic search, text classification, and clustering.

Model Capabilities

Semantic Textual Similarity Calculation
Semantic Search
Paraphrase Mining
Text Classification
Text Clustering

Use Cases

Recruitment and Job Search
Job Seeker and Position Matching
Matches job seekers' personal profiles with job descriptions and computes similarity scores.
Helps recruiters quickly screen suitable candidates.
Freelancer Project Recommendations
Recommends suitable projects based on freelancers' skill descriptions.
Improves matching efficiency between freelancers and projects.
Content Management
Similar Content Identification
Identifies similar content on websites or platforms.
Helps with content deduplication or recommending related content.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase