Papers Session Search
“Session Search” 태그가 달린 논문 13편 · 필터 해제
Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search
Session search involves a series of interactive queries and actions to fulfill user's complex information need. Current strategies typically prioritize sequential modeling for deep semantic understanding, overlooking the…
Contrastive LearningGraph LearningLink PredictionSession SearchQuery-oriented Data Augmentation for Session Search
Modeling contextual information in a search session has drawn more and more attention when understanding complex user intents. Recent methods are all data-driven, i.e., they train different models on large-scale search l…
Data AugmentationSession SearchCognitively Biased Users Interacting with Algorithmically Biased Results in Whole-Session Search on Debated Topics
When interacting with information retrieval (IR) systems, users, affected by confirmation biases, tend to select search results that confirm their existing beliefs on socially significant contentious issues. To understan…
Information RetrievalRetrievalSession SearchSession-level Normalization and Click-through Data Enhancement for Session-based Evaluation
Since a user usually has to issue a sequence of queries and examine multiple documents to resolve a complex information need in a search session, researchers have paid much attention to evaluating search systems at the s…
Session SearchTHUIR2 at NTCIR-16 Session Search (SS) Task
Our team(THUIR2) participated in both FOSS and POSS subtasks of the NTCIR-161 Session Search (SS) Task. This paper describes our approaches and results. In the FOSS subtask, we submit five runs using learning-to-rank and…
Language ModelingLanguage ModellingLearning-To-RankSession SearchEnhancing User Behavior Sequence Modeling by Generative Tasks for Session Search
Users' search tasks have become increasingly complicated, requiring multiple queries and interactions with the results. Recent studies have demonstrated that modeling the historical user behaviors in a session can help u…
DecoderDocument RankingSession SearchCERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data
User sessions empower many search and recommendation tasks on a daily basis. Such session data are semi-structured, which encode heterogeneous relations between queries and products, and each item is described by the uns…
Entity LinkingSelf-Supervised LearningSession SearchReproducing Personalised Session Search over the AOL Query Log
Despite its troubled past, the AOL Query Log continues to be an important resource to the research community -- particularly for tasks like search personalisation. When using the query log these ranking experiments, litt…
Session SearchCERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data
User sessions empower many search and recommendation tasks on a daily basis. Such session data are semi-structured, which encode heterogeneous relations between queries and products, and each item is described by the uns…
Entity LinkingSelf-Supervised LearningSession SearchLearning to Personalize for Web Search Sessions
The task of session search focuses on using interaction data to improve relevance for the user's next query at the session level. In this paper, we formulate session search as a personalization task under the framework o…
Learning-To-RankSession SearchTempo-Lexical Context Driven Word Embedding for Cross-Session Search Task Extraction
Task extraction is the process of identifying search intents over a set of queries potentially spanning multiple search sessions. Most existing research on task extraction has focused on identifying tasks within a single…
Information RetrievalSession SearchLexical Query Modeling in Session Search
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 me…
Session SearchA Term-Based Methodology for Query Reformulation Understanding
Key to any research involving session search is the understanding of how a user's queries evolve throughout the session. When a user creates a query reformulation, he or she is consciously retaining terms from their orig…
Session Search