AI Box | 发表论文

2021-08-14

Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data

KDD 2021

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2021-08-13

PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval

Findings of ACL 2021

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2021-07-11

Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation

SIGIR 2021

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2021-07-11

Knowledge-based Review Generation by Coherence Enhanced Text Planning

SIGIR 2021

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2021-06-04

Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators

ACL 2021

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2021-06-03

Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models

Findings of ACL 2021

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2021-06-03

A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps

WWW 2021

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2021-05-25

A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions

IJCAI 2021 Survey Track

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2021-05-21

Pretrained Language Model for Text Generation: A Survey

IJCAI 2021 Survey Track

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2021-05-18

Dual Sparse Attention Network for Session-Based Recommendation

AAAI 2021

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2021-05-12

RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

NAACL 2021

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2021-03-24

Personalized Route Recommendation with Neural Network Enhanced A∗ Search Algorithm

IEEE TKDE 2021

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2021-03-08

Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals

WSDM

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2021-01-06

TextBox: A Unified, Modularized, and Extensible Framework for Text Generation

ACL Demo 2021

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2021-01-04

CRSLab: An Open-Source Toolkit for Building Conversational Recommender System

ACL Demo 2021

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2020-10-19

Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network

CIKM

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2020-10-19

Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network

CIKM

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2020-10-19

S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization

CIKM

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2020-10-19

Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms

CIKM

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2020-10-19

Leveraging Historical Interaction Data for Improving Conversational Recommender System

CIKM

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2020-10-08

Towards Topic-Guided Conversational Recommender System

COLING

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2020-08-20

Learning Effective Road Network Representation with Hierarchical Graph Neural Networks

KDD

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2020-08-20

Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion

KDD

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2020-07-25

Sequential Recommendation with Self-Attentive Multi-Adversarial Network

SIGIR

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2020-07-25

KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation

SIGIR

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2020-05-06

Improving Multi-Turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting

PAKDD

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2020-04-20

Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning

WWW

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2020-03-07

Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale

ACM Trans. Inf. Syst.

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2019-11-03

Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation

CIKM

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2019-11-01

Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network

EMNLP

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2019-11-01

A Neural Citation Count Prediction Model based on Peer Review Text

EMNLP

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2019-09-12

Deep Trajectory Recovery with Fine-Grained Calibration using Kalman Filter

IEEE Trans. Knowl. Data Eng.

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2019-07-25

Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation

KDD

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2019-07-18

Supervised Hierarchical Cross-Modal Hashing

SIGIR

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2019-06-11

Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding

ACL

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2019-04-01

KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems

Data Intell.

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2019-03-22

Neural Network Based Popularity Prediction by Linking Online Content with Knowledge Bases

PAKDD

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2019-02-12

A Long-Short Demands-Aware Model for Next-Item Recommendation

SIGIR

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2019-02-01

Heterogeneous Information Network Embedding for Recommendation

IEEE Trans. Knowl. Data Eng.

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2019-01-30

Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation

WSDM

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2018-12-01

Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites

IEEE Trans. Knowl. Data Eng.

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2018-11-17

A Neural Labeled Network Embedding Approach to Product Adopter Prediction

AIRS

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2018-10-17

Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network

CIKM

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2018-10-01

Supervised Search Result Diversification via Subtopic Attention

IEEE Trans. Knowl. Data Eng.

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2018-09-01

A time-aware trajectory embedding model for next-location recommendation

Knowl. Inf. Syst.

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2018-07-19

Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model

KDD

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2018-07-01

Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network

ACL

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2018-06-27

Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks

SIGIR

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2018-06-27

An Attribute-aware Neural Attentive Model for Next Basket Recommendation

SIGIR

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2018-05-10

hyperdoc2vec: Distributed Representations of Hypertext Documents

ACL

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