arXiv:1608.06656
공식 코드 · Papers with Code
Lexical Query Modeling in Session Search
원문 초록
Lexical query modeling has been the leading paradigm for session search. In this paper, we analyze TREC session query logs and compare the performance of different lexical matching approaches for session search. Naive methods based on term frequency weighing perform on par with specialized session models. In addition, we investigate the viability of lexical query models in the setting of session search. We give important insights into the potential and limitations of lexical query modeling for session search and propose future directions for the field of session search.
함께 살펴볼 논문
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Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search
Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search
Query-oriented Data Augmentation for Session Search
Cognitively Biased Users Interacting with Algorithmically Biased Results in Whole-Session Search on Debated Topics
Session-level Normalization and Click-through Data Enhancement for Session-based Evaluation
THUIR2 at NTCIR-16 Session Search (SS) Task
토론
이 논문과 연결된 포럼 글이 아직 없습니다.