NeurIPS Poster Concierge-AI-Powered Poster Recommendations

Example

An attendee interested in quantum computing will receive a list of posters related to quantum algorithms, quantum machine learning, and qubits, prioritized by reviewer scores and presentation dates.

Scenario

This function is applied when an attendee provides their topics of interest and, optionally, the dates they are attending the conference. The Concierge then sifts through its dataset to find matches based on these preferences.

Example

For a user interested in 'reinforcement learning,' the service expands the search to include 'Q-learning,' 'policy gradient,' and 'multi-agent systems,' ensuring a thorough coverage of the field.

Scenario

This function comes into play when the user's interests might relate to a broad or highly specific area of research. The Concierge uses an extensive keyword list to capture all potentially relevant posters.

Example

Upon identifying relevant posters, detailed information including the title, authors, average score, and the date and time of the presentation is provided for each recommendation.

Scenario

After selecting posters based on the user's interests, the Concierge provides comprehensive details about each one to help users plan their conference schedule effectively.