Papertalk - User Profile

Member since: 2021-01-05

Last seen: 2021-01-08

User details

Name:

ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

Affiliation:

Association for Computing Machinery (ACM)

Website:

https://sigir.org/

About me:

The annual SIGIR conference is the major international forum for the presentation of new research results, and the demonstration of new systems and techniques, in the broad field of information retrieval (IR).

Papertalks of SIGIR

25/07/2020

Training effective neural CLIR by bridging the translation gap

Hamed Bonab, Sheikh Muhammad Sarwar, James Allan

Keywords Paper

cross-lingual word embedding, cross-lingual information retrieval, neural clir, translation gap

0

0

0

0

15:33

25/07/2020

A deep recurrent survival model for unbiased ranking

Jiarui Jin, Yuchen Fang, Weinan Zhang and
Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai

Keywords Paper

cascade model, unbiased learning-to-rank, position bias

0

0

0

0

11:32

25/07/2020

A reinforcement learning framework for relevance feedback

Ali Montazeralghaem, Hamed Zamani, James Allan

Keywords Paper

reinforcement learning, query language model, relevance feedback model, neural network

0

0

0

0

13:00

25/07/2020

Fairness-aware explainable recommendation over knowledge graphs

Zuohui Fu, Yikun Xian, Ruoyuan Gao and
Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard Melo

Keywords Paper

explainable recommendation, knowledge graphs, fairness

0

0

0

0

21:26

25/07/2020

Attentional graph convolutional networks for knowledge concept recommendation in MOOCs in a heterogeneous view

Jibing Gong, Shen Wang, Jinlong Wang and
Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu

Keywords Paper

graph neural networks, heterogeneous information network, recommender system

0

0

0

0

16:15

25/07/2020

Sequential recommendation with self-attentive multi-adversarial network

Ruiyang Ren, Zhaoyang Liu, Yaliang Li and
Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen

Keywords Paper

sequential recommendation, adversarial training, self-attentive mechanism

0

0

0

0

15:12

25/07/2020

MVIN: Learning multiview items for recommendation

Chang-You Tai, Meng-Ru Wu, Yun-Wei Chu and
Shao-Yu Chu, Lun-Wei Ku

Keywords Paper

knowledge graph, higher-order connectivity, recommendation, graph neural network, embedding propagation

0

0

0

0

18:11

25/07/2020

Evolutionary product description generation: A dynamic fine-tuning approach leveraging user click behavior

Yongzhen Wang, Jian Wang, Heng Huang and
Hongsong Li, Xiaozhong Liu

Keywords Paper

product description generation, neural network, sequence-to-sequence, click-through rate, reinforcement learning

0

0

0

0

14:34

25/07/2020

Pairwise view weighted graph network for view-based 3D model retrieval

Zan Gao, Yin-ming Li, Wei-li Guan and
Wei-zhi Nie, Zhi-yong Cheng, An-an Liu

Keywords Paper

non-local graph network, pairwise network architecture, view weighted layer, view-based 3D model retrieval

0

0

0

0

10:43

25/07/2020

Detecting user community in sparse domain via cross-graph pairwise learning

Zheng Gao, Hongsong Li, Zhuoren Jiang, Xiaozhong Liu

Keywords Paper

pairwise learning, cross graph, community detection

0

0

0

0

19:30

25/07/2020

Hierarchical fashion graph network for personalized outfit recommendation

Xingchen Li, Xiang Wang, Xiangnan He and
Long Chen, Jun Xiao, Tat-Seng Chua

Keywords Paper

personalized fashion recommendation, graph neural networks, fashion compatibility

0

0

0

0

13:32

25/07/2020

Global context enhanced graph neural networks for session-based recommendation

Ziyang Wang, Wei Wei, Gao Cong and
Xiao-Li Li, Xian-Ling Mao, Minghui Qiu

Keywords Paper

session-based recommendation, graph neural network, recommendation system

0

0

0

0

13:11

25/07/2020

Jointly non-sampling learning for knowledge graph enhanced recommendation

Chong Chen, Min Zhang, Weizhi Ma and
Yiqun Liu, Shaoping Ma

Keywords Paper

recommender systems, non-sampling learning, knowledge graph, implicit feedback, efficient

0

0

0

0

14:22

25/07/2020

AutoGroup: Automatic feature grouping for modelling explicit high-order feature interactions in CTR prediction

Bin Liu, Niannan Xue, Huifeng Guo and
Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, Zhenguo Li

Keywords Paper

automl, high-order feature interactions, deep learning, recommender systems, neural networks

0

0

0

0

20:26

25/07/2020

KERL: A knowledge-guided reinforcement learning model for sequential recommendation

Pengfei Wang, Yu Fan, Long Xia and
Wayne Xin Zhao, Shaozhang Niu, Jimmy Huang

Keywords Paper

sequential recommendation, reinforcement learning, knowledge graph

0

0

0

0

13:23

25/07/2020

CKAN: Collaborative knowledge-aware attentive network for recommender systems

Ze Wang, Guangyan Lin, Huobin Tan and
Qinghong Chen, Xiyang Liu

Keywords Paper

knowledge-aware attention mechanism, recommender systems, heterogeneous propagation, knowledge graph

0

0

0

0

9:49

25/07/2020

Incorporating scenario knowledge into a unified fine-tuning architecture for event representation

Jianming Zheng, Fei Cai, Honghui Chen

Keywords Paper

scenario knowledge, pre-training, fine-tuning, event representation

0

0

0

0

15:37

25/07/2020

Ranking-incentivized quality preserving content modification

Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber

Keywords Paper

search engine optimization, adversarial retrieval

0

0

0

0

16:07

25/07/2020

On understanding data worker interaction behaviors

Lei Han, Tianwa Chen, Gianluca Demartini and
Marta Indulska, Shazia Sadiq

Keywords Paper

interaction behavior, search pattern, data curation

0

0

0

0

6:01

25/07/2020

Creating a children-friendly reading environment via joint learning of content and human attention

Guoxiu He, Yangyang Kang, Zhuoren Jiang and
Jiawei Liu, Changlong Sun, Xiaozhong Liu, Wei Lu

Keywords Paper

nature language understanding, neural networks, long text, reading behavior, user modeling

0

0

0

0

16:42

25/07/2020

The cortical activity of graded relevance

Zuzana Pinkosova, William J. McGeown, Yashar Moshfeghi

Keywords Paper

relevance judgement, graded relevance, erps, brain signals, information retrieval, eeg, binary relevance

0

0

0

0

13:50

25/07/2020

Asymmetric tri-training for debiasing missing-not-at-random explicit feedback

Yuta Saito

Keywords Paper

recommender systems, unsupervised domain adaptation, missing-not-at-random, matrix factorization, selection bias, explicit feedback

0

0

0

0

18:03

25/07/2020

Bayesian inferential risk evaluation on multiple IR systems

Rodger Benham, Ben Carterette, J. Shane Culpepper, Alistair Moffat

Keywords Paper

multiple comparisons, credible intervals, risk-biased evaluation, effectiveness metric, bayesian inference

0

0

0

0

15:34

25/07/2020

How to measure the reproducibility of system-oriented IR experiments

Timo Breuer, Nicola Ferro, Norbert Fuhr and
Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff

Keywords Paper

replicability, measure, reproducibility

0

0

0

0

15:24

25/07/2020

Good evaluation measures based on document preferences

Tetsuya Sakai, Zhaohao Zeng

Keywords Paper

evaluation measures, document preferences, preference assessments, serp preferences., adhoc retrieval

0

0

0

0

18:45

25/07/2020

Operationalizing the legal principle of data minimization for personalization

Asia J. Biega, Peter Potash, Hal Daumé and
Fernando Diaz, Michèle Finck

Keywords Paper

gdpr, privacy, personalization, purpose limitation, recommender systems, data minimization

0

0

0

0

14:20

25/07/2020

Learning personalized risk preferences for recommendation

Yingqiang Ge, Shuyuan Xu, Shuchang Liu and
Zuohui Fu, Fei Sun, Yongfeng Zhang

Keywords Paper

prospect theory, computational economics, recommender systems, personalization, risk attitudes

0

0

0

0

15:49

25/07/2020

Controlling fairness and bias in dynamic learning-to-rank

Marco Morik, Ashudeep Singh, Jessica Hong, Thorsten Joachims

Keywords Paper

learning-to-rank, selection bias, exposure, fairness, ranking, bias

0

0

0

0

13:55

25/07/2020

Can the crowd identify misinformation objectively? The effects of judgment scale and assessor’s background

Kevin Roitero, Michael Soprano, Shaoyang Fan and
Damiano Spina, Stefano Mizzaro, Gianluca Demartini

Keywords Paper

information credibility, crowdsourcing, classification

0

0

0

0

15:03

25/07/2020

What makes a top-performing precision medicine search engine? Tracing main system features in a systematic way

Erik Faessler, Michel Oleynik, Udo Hahn

Keywords Paper

precision medicine, trec, search engine evaluation

0

0

0

0

12:27

25/07/2020

Accelerated convergence for counterfactual learning to rank

Rolf Jagerman, Maarten Rijke

Keywords Paper

unbiased learning, counterfactual learning, learning to rank

0

0

0

0

14:21

25/07/2020

DVGAN: A minimax game for search result diversification combining explicit and implicit features

Jiongnan Liu, Zhicheng Dou, Xiaojie Wang and
Shuqi Lu, Ji-Rong Wen

Keywords Paper

generative adversarial network, search result diversification

0

0

0

0

12:46

25/07/2020

Policy-aware unbiased learning to rank for top-k rankings

Harrie Oosterhuis, Maarten Rijke

Keywords Paper

recommendation, selection bias, counterfactual learning to rank, learning to rank, counterfactual learning, top-k ranking

0

0

0

0

20:00

25/07/2020

SetRank: Learning a permutation-invariant ranking model for information retrieval

Liang Pang, Jun Xu, Qingyao Ai and
Yanyan Lan, Xueqi Cheng, Jirong Wen

Keywords Paper

learning to rank, permutation-invariant ranking model

0

0

0

0

14:02

25/07/2020

Humor detection in product question answering systems

Yftah Ziser, Elad Kravi, David Carmel

Keywords Paper

product question answering, humor detection

0

0

0

0

13:22

25/07/2020

Open-retrieval conversational question answering

Chen Qu, Liu Yang, Cen Chen and
Minghui Qiu, W. Bruce Croft, Mohit Iyyer

Keywords Paper

conversational search, conversational question answering, open-retrieval

1

0

0

0

14:49

25/07/2020

Answer ranking for product-related questions via multiple semantic relations modeling

Wenxuan Zhang, Yang Deng, Wai Lam

Keywords Paper

product question answering, e-commerce, answer ranking, question answering

0

0

0

0

15:43

25/07/2020

Table search using a deep contextualized language model

Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin and
Yinan Xu, Brian D. Davison

Keywords Paper

neural networks, pretrained language model, table search, information retrieval

0

0

0

0

12:33

25/07/2020

Convolutional embedding for edit distance

Xinyan DAI, Xiao Yan, Kaiwen Zhou and
Yuxuan Wang, Han Yang, James Cheng

Keywords Paper

string similarity search, convolutional neural network, metric embedding, edit distance

0

0

0

0

14:57

25/07/2020

ASiNE: Adversarial signed network embedding

Yeon-Chang Lee, Nayoun Seo, Kyungsik Han, Sang-Wook Kim

Keywords Paper

adversarial learning, signed network embedding, balance theory

0

0

0

0

14:10

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