Hello Hasanm,
✅I will show you my recent projects for semantic search algorithm (Match Making System ) So it's surety for you to get perfect solutions from my side. If you want demo-type things or initial work for your project, then I will show you, and after that, we will finalize our project deal and payment milestones.
✅ Semantic search algorithm (Similarity Scoring) and Ranking that's includes:
➡️ leverages NLP and machine learning techniques to understand and interpret user queries more effectively for Improve search result accuracy and relevance by matching the intent and context of queries with the most appropriate content.
➡️suitable for deployment in various applications such as web search engines, e-commerce platforms, and knowledge management systems.
➡️ Data Collection from sources like websites, databases, or internal documents.
➡️ Data Preprocessing (Cleaning, Normalization/Standardization, Feature Engineering, etc.)
➡️ NLP techniques such as named entity recognition (NER), part-of-speech tagging, and dependency parsing to analyze and understand user queries. Contextual Embeddings as employ state-of-the-art word and sentence embedding techniques to capture the semantic meaning of words and phrases in both the query and the content.
➡️ Deep Learning Model Selection as pre-trained models are available, consider fine-tuning them (e.g., BERT for text, ResNet for images)
✅ I am from India, GMT +5:30, and I am available from 8:00 a.m. to 11:00 p.m.