Accuracy (%): 94.84
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">
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
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데이터셋
36개논문
Accuracy: 94.27
Accuracy: 97.8
Accuracy: 98.4
Accuracy: 97.7
Accuracy: 97.4
Acc: 94.56
Accuracy: 97.7
Accuracy: 97.8
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