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This paper presents the University of Amsterdam's participation in the TREC 2016 Contextual Suggestion Track. In this research, we have studied a personallized neural document language modeling and a neural category preference modeling for contextual suggestion using available endorsements in TREC 2016 contextual suggestion track phase 2 requests. Specifically, our main aim is to answer the questions: How to model users' profiles by using the suggestions' endorsements as an additional data? Howdblp:conf/trec/HashemiKA16 fatcat:iyhciumhpzckvfjsol67hs54uy