An Information Retrieval Framework for Contextual Suggestion Based on Heterogeneous Information Network Embeddings
Author:
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
Link
https://dl.acm.org/doi/pdf/10.1145/3209978.3210103
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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