An open-source dataset for e-commerce user intent detection and embedding retrieval

IntentsKB: A Knowledge Base of Entity-Oriented Search Intents - CIKM'18

Towards an Understanding of Entity-Oriented Search Intents - ECIR'18

A tiny library to detect user intent (exit intent) and trigger a callback. It's built with pure JavaScript and supports multiple triggers. Made for better user engagements.

Identify anomalies in the user behaviour and prevent suspicious activity, in real time.

We build a chatbot by implementing machine learning and natural language processing.

LLM-Driven Preference Data Synthesis for Proactive Prediction of the User’s Next Utterance in Human–Machine Dialogue

Identify anomalies in the user behaviour and prevent suspicious activity, in real time.

Prompt restructuring pipeline - By harnessing advanced pragmatic reasoning, PragmaticLM deciphers ambiguities and restructures raw prompts into clear, contextually enriched queries, ensuring that downstream large language models receive inputs optimally tailored for high-accuracy inference.

A light-weight library for User Intents on Web Applications

I Asked It to Forget, but It Didn't — A Case of Miscommunication Between AI and Humans

User-Intent classification with SVM