An Information Retrieval Framework for Contextual Suggestion Based on Heterogeneous Information Network Embeddings

Author:

Seyler Dominic1,Chandar Praveen2,Davis Matthew3

Affiliation:

1. IBM Research & University of Illinois at Urbana-Champaign, Cambridge, MA, USA

2. IBM Research & Spotify Research, Cambridge, MA, USA

3. IBM Research & Invitae, Cambridge, MA, USA

Publisher

ACM

Reference11 articles.

1. Seyyed Hadi Hashemi etalmbox. . 2016 a. Neural Endorsement Based Contextual Suggestion. In TREC. Seyyed Hadi Hashemi et almbox. . 2016 a. Neural Endorsement Based Contextual Suggestion. In TREC.

2. Georgios Kalamatianos and Avi Arampatzis . 2016. Recommending Points-of-Interest via Weighted kNN Rated Rocchio and Borda Count Fusion TREC. Georgios Kalamatianos and Avi Arampatzis . 2016. Recommending Points-of-Interest via Weighted kNN Rated Rocchio and Borda Count Fusion TREC.

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