Tempo-Lexical Context Driven Word Embedding for Cross-Session Search Task Extraction (N18-1)
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| Challenge: | Existing work on task extraction has focused on identifying tasks within a single session . but, we aim to identify tasks that span across multiple sessions. |
| Approach: | They propose to embed query words into query vectors to capture task semantics . they propose to use query vector embedding to predict whether a session is a part of a broader search task . |
| Outcome: | The proposed method improves task extraction efficiency over existing methods . it can predict whether a session is part of a broader complex search task . |
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