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researcher

G. Guo

13 papers hereh-index 294.2k citations103 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author8
  • last author3

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.IR7
  • cs.CL3
  • cs.LG2
  • cs.CV1
same name
  • G. Guo — 666 papers, h 90
  • G. Guo — 96 papers, h 48
  • G. Guo — 81 papers, h 32
  • G. Guo — 43 papers, h 61
  • G. Guo — 25 papers, h 13
  • G. Guo — 25 papers, h 14

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedResearch Commentary on Recommendations with Side Information: A Survey and Research Directions

192 citations · 378 across the 13 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.IR2020

User-based Network Embedding for Collective Opinion Spammer Detection

Ziyang Wang, Wei Wei, Xian-Ling Mao +3

Due to the huge commercial interests behind online reviews, a tremendousamount of spammers manufacture spam reviews for product reputation manipulation. To further enhance the infl…

cs.CL2020★ 3 cited

Target Guided Emotion Aware Chat Machine

Wei Wei, Jiayi Liu, Xianling Mao +5

The consistency of a response to a given post at semantic-level and emotional-level is essential for a dialogue system to deliver human-like interactions. However, this challenge i…

cs.IR2020★ 16 cited

CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network

Shilin Qu, Fajie Yuan, Guibing Guo +2

Recently, Memory-based Neural Recommenders (MNR) have demonstrated superior predictive accuracy in the task of sequential recommendations, particularly for modeling long-term item…

cs.LG2020★ 2 cited

Generalized Embedding Machines for Recommender Systems

Enneng Yang, Xin Xin, Li Shen +1

Factorization machine (FM) is an effective model for feature-based recommendation which utilizes inner product to capture second-order feature interactions. However, one of the maj…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.