Accuracy: 97.4
Papers with Code · CC BY-SA 4.0
Intent Detection
Intent Detection is a task of determining the underlying purpose or goal behind a user's search query given a context. The task plays a significant role in search and recommendations. A traditional approach for intent detection implies using an intent detector model to classify user search query into predefined intent categories, given a context. One of the key challenges of the task implies identifying user intents for cold-start sessions, i.e., search sessions initiated by a non-logged-in or unrecognized user.
<span class="description-source">Source: Analyzing and Predicting Purchase Intent in E-commerce: Anonymous vs. Identified Customers</span> <span class="description-source">
논문
Accuracy (%): 94.84
Accuracy: 97.76
Accuracy: 94.27
Accuracy: 98.99
Accuracy: 97.8
Accuracy: 98.4
Accuracy: 97.7
Accuracy: 96.5f1 macro: 98.6
Accuracy: 98.43
Accuracy: 97.9
Acc: 94.56
Accuracy: 97.7
Accuracy: 98.07
Accuracy: 95.5
Accuracy: 96.3
Accuracy: 95.6
Accuracy: 96.9
Accuracy: 97.8
Accuracy: 98.40
Accuracy: 97.3
Accuracy: 97.2
Accuracy: 98.89
Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction
Accuracy: 97.2