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Qualifying Exam

Towards a More Generative Model of Query Recommendation

 

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Monday, September 26, 2016, 03:30pm

 

Loosely stated, the goal of query recommendation is to recommend queries that obtain desired information from a search engine, based on the searcher's intentions. Yet largely overlooked are direct solutions to the following problems: 1) Recommending "information" and 2) Discovering a searcher's "intentions". We show how previous solutions in query recommendation and intention modeling fall short. We outline our work towards a more general query recommender, taking a generative approach that contrasts with discriminative approaches. We draw relationships between query logs and intentions and argue for unified recommendation approach incorporating a context of intentions and a context of information.

Speaker: Matthew Mitsui

Bio

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Location : CoRE B (305)

Committee

Prof. Chirag Shah (Chair), Prof. Amélie Marian, Prof. Pranjal Awasthi, Prof. Kostas Bekris

Event Type: Qualifying Exam

Organization

Dept. of Computer Science