Lexical Query Modeling in Session Search
This work provides insights into the viability and limitations of lexical query modeling for session search, which is incremental as it builds on existing paradigms without introducing new methods.
The paper analyzed TREC session query logs to compare lexical matching approaches for session search, finding that naive term frequency methods performed similarly to specialized session models.
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.