Contextual Suggestion.

Date of Submission

December 2017

Date of Award

Winter 12-12-2018

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Master's Dissertation

Degree Name

Master of Technology

Subject Name

Computer Science


Computer Vision and Pattern Recognition Unit (CVPR-Kolkata)


Mitra, Mandar (CVPR-Kolkata; ISI)

Abstract (Summary of the Work)

In this report we give the approaches that we applied to solve TREC 2016 Contextual Suggestion Track. The goal of the Contextual Suggestion Track is to build a system capable of proposing venues which a user might be interested to visit, using any contextual and personal information. We present our approaches to model Point Of Interests(POI) and user profile based on tags’ word embedding(specifically Word2Vec). We also present model for contextual relevance and POI relevance. We also compare different ways to tune the parameters. Our approaches work better than other existing approaches presented in TREC Contextual Suggestion 2016 Track.


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Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.


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