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Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match
In this paper, we study iterative relevance feedback techniques with a focus on retrieving answer passages.
Joint Modeling and Optimization of Search and Recommendation
We list a number of future directions for this line of research that can potentially lead to development of state-of-the-art search and recommendation models.
Target Apps Selection: Towards a Unified Search Framework for Mobile Devices
As a consequence, users are getting engaged with the mobile apps and frequently search for an information need in their apps.
Towards Theoretical Understanding of Weak Supervision for Information Retrieval
We briefly review a set of our recent theoretical findings that shed light on learning from weakly supervised data, and provide guidelines on how train learning to rank models with weak supervision.
Distributed Evaluations: Ending Neural Point Metrics
With the rise of neural models across the field of information retrieval, numerous publications have incrementally pushed the envelope of performance for a multitude of IR tasks.
WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval
With the rise in mobile and voice search, answer passage retrieval acts as a critical component of an effective information retrieval system for open domain question answering.
