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205
papertalks found
25/07/2020
Query/task satisfaction and grid-based evaluation metrics under different image search intents
Kosetsu Tsukuda
,
Masataka Goto
Keywords
Abstract
Paper
search intent
,
image search
,
search satisfaction
,
evaluation metrics
9:32
25/07/2020
Good evaluation measures based on document preferences
Tetsuya Sakai
,
Zhaohao Zeng
Keywords
Abstract
Paper
evaluation measures
,
document preferences
,
preference assessments
,
serp preferences.
,
adhoc retrieval
18:45
25/07/2020
Web of scholars: A scholar knowledge graph
Jiaying Liu
,
Jing Ren
,
Wenqing Zheng
and
Lianhua Chi
,
Ivan Lee
,
Feng Xia
Keywords
Abstract
Paper
relationship mining
,
knowledge graph
,
web of scholars
9:07
25/07/2020
JointMap: Joint query intent understanding for modeling intent hierarchies in e-commerce search
Ali Ahmadvand
,
Surya Kallumadi
,
Faizan Javed
,
Eugene Agichtein
Keywords
Abstract
Paper
query understanding
,
joint intent learning
,
e-commerce seach
5:08
25/07/2020
Automatic generation of topic labels
Areej Alokaili
,
Nikolaos Aletras
,
Mark Stevenson
Keywords
Abstract
Paper
topic modeling
,
topic representation
,
neural network
9:55
25/07/2020
MVL: Multi-view learning for news recommendation
T. Y. S. S Santosh
,
Avirup Saha
,
Niloy Ganguly
Keywords
Abstract
Paper
graph view
,
news recommendation
,
multi-view learning
11:18
25/07/2020
Query by example for cross-lingual event retrieval
Sheikh Muhammad Sarwar
,
James Allan
Keywords
Abstract
Paper
query intent discovery
,
semantic matching
,
semantic role labeling
,
cross-lingual ir
,
event detection
,
event retrieval
10:53
25/07/2020
Multi-grouping robust fair ranking
Thibaut Thonet
,
Jean-Michel Renders
Keywords
Abstract
Paper
grouping robustness
,
multi-grouping fair ranking
,
fair ranking
8:59
25/07/2020
Content-aware neural hashing for cold-start recommendation
Casper Hansen
,
Christian Hansen
,
Jakob Grue Simonsen
and
Stephen Alstrup
,
Christina Lioma
Keywords
Abstract
Paper
content-aware recommendation
,
autoencoders
,
collaborative filtering
,
hashing
,
cold-start recommendation
14:12
25/07/2020
Experimaestro and datamaestro: Experiment and dataset managers (for IR)
Benjamin Piwowarski
Keywords
Abstract
Paper
experiment manager
,
dataset manager
7:27
25/07/2020
Query rewriting for voice shopping null queries
Iftah Gamzu
,
Marina Haikin
,
Nissim Halabi
Keywords
Abstract
Paper
e-commerce search
,
voice assistant
,
null query
,
query rewriting
,
voice search
17:31
25/07/2020
Identifying tasks from mobile app usage patterns
Yuan Tian
,
Ke Zhou
,
Mounia Lalmas
,
Dan Pelleg
Keywords
Abstract
Paper
mobile tasks
,
usage logs
,
apps
,
user behavior modeling
15:06
25/07/2020
Learning efficient representations of mouse movements to predict user attention
Ioannis Arapakis
,
Luis A. Leiva
Keywords
Abstract
Paper
mouse cursor
,
sponsored search
,
online advertising
,
direct displays
,
user attention
,
transfer learning
,
neural networks
13:32
25/07/2020
Nonlinear robust discrete hashing for cross-modal retrieval
Zhan Yang
,
Jun Long
,
Lei Zhu
,
Wenti Huang
Keywords
Abstract
Paper
nonlinear descriptors
,
discrete optimization
,
cross-modal hashing
18:07
25/07/2020
Item tagging for information retrieval: A tripartite graph neural network based approach
Kelong Mao
,
Xi Xiao
,
Jieming Zhu
and
Biao Lu
,
Ruiming Tang
,
Xiuqiang He
Keywords
Abstract
Paper
item tagging
,
graph neural networks
,
information retrieval
16:53
25/07/2020
A reinforcement learning framework for relevance feedback
Ali Montazeralghaem
,
Hamed Zamani
,
James Allan
Keywords
Abstract
Paper
reinforcement learning
,
query language model
,
relevance feedback model
,
neural network
13:00
25/07/2020
Vis-Trec: A System for the In-depth Analysis of trec_eval Results
Mahtab Tamannaee
,
Negar Arabzadeh
,
Ebrahim Bagheri
Keywords
Abstract
Paper
trec-eval
,
information retrieval
10:39
25/07/2020
ASiNE: Adversarial signed network embedding
Yeon-Chang Lee
,
Nayoun Seo
,
Kyungsik Han
,
Sang-Wook Kim
Keywords
Abstract
Paper
adversarial learning
,
signed network embedding
,
balance theory
14:10
25/07/2020
CKAN: Collaborative knowledge-aware attentive network for recommender systems
Ze Wang
,
Guangyan Lin
,
Huobin Tan
and
Qinghong Chen
,
Xiyang Liu
Keywords
Abstract
Paper
knowledge-aware attention mechanism
,
recommender systems
,
heterogeneous propagation
,
knowledge graph
9:49
25/07/2020
Bayesian inferential risk evaluation on multiple IR systems
Rodger Benham
,
Ben Carterette
,
J. Shane Culpepper
,
Alistair Moffat
Keywords
Abstract
Paper
multiple comparisons
,
credible intervals
,
risk-biased evaluation
,
effectiveness metric
,
bayesian inference
15:34
25/07/2020
Agreement and disagreement between true and false-positive metrics in recommender systems evaluation
Elisa Mena-Maldonado
,
Rocı́o Cañamares
,
Pablo Castells
and
Yongli Ren
,
Mark Sanderson
Keywords
Abstract
Paper
recommender systems
,
evaluation
,
false positives
,
metrics
,
popularity bias
,
non-random missing data
15:20
25/07/2020
A knowledge-enhanced recommendation model with attribute-level co-attention
Deqing Yang
,
Zengchun Song
,
Lvxin Xue
,
Yanghua Xiao
Keywords
Abstract
Paper
knowledge graph
,
recommender system
,
attribute-level
,
co-attention
15:46
25/07/2020
DataMirror: Reflecting on one’s data self: A tool for social media users to explore their digital footprints
Amal Htait
,
Leif Azzopardi
,
Emma Nicol
,
Wendy Moncur
Keywords
Abstract
Paper
privacy
,
digital identity
,
information revelation
,
data self
,
security
7:23
25/07/2020
Convolutional embedding for edit distance
Xinyan DAI
,
Xiao Yan
,
Kaiwen Zhou
and
Yuxuan Wang
,
Han Yang
,
James Cheng
Keywords
Abstract
Paper
string similarity search
,
convolutional neural network
,
metric embedding
,
edit distance
14:57
25/07/2020
ServiceGroup: A human-machine cooperation solution for group chat customer service
Minghui Yang
,
Hengbin Cui
,
Shaosheng Cao
and
Yafang Wang
,
Xiaolong Li
Keywords
Abstract
Paper
customer service
,
group chat
,
question answering
11:33
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
Abstract
Paper
automl
,
high-order feature interactions
,
deep learning
,
recommender systems
,
neural networks
20:26
25/07/2020
DCDIR: A deep cross-domain recommendation system for cold start users in insurance domain
Ye Bi
,
Liqiang Song
,
Mengqiu Yao
and
Zhenyu Wu
,
Jianming Wang
,
Jing Xiao
Keywords
Abstract
Paper
insurance recommendation
,
cold start problem
,
cross-domain recommendation
,
knowledge graph
8:09
25/07/2020
Joint item recommendation and attribute inference: An adaptive graph convolutional network approach
Le Wu
,
Yonghui Yang
,
Kun Zhang
and
Richang Hong
,
Yanjie Fu
,
Meng Wang
Keywords
Abstract
Paper
graph convolutional networks
,
collaborative filtering
,
attribute inference
14:14
25/07/2020
Do neural ranking models intensify gender bias?
Navid Rekabsaz
,
Markus Schedl
Keywords
Abstract
Paper
neural ranking models
,
bias measurement
,
retrieval gender bias
9:12
25/07/2020
A heterogeneous information network based cross domain insurance recommendation system for cold start users
Ye Bi
,
Liqiang Song
,
Mengqiu Yao
and
Zhenyu Wu
,
Jianming Wang
,
Jing Xiao
Keywords
Abstract
Paper
cross-domain recommendation
,
cold start problem
,
insurance recommendation
,
heterogeneous information network
10:29
25/07/2020
Open-retrieval conversational question answering
Chen Qu
,
Liu Yang
,
Cen Chen
and
Minghui Qiu
,
W. Bruce Croft
,
Mohit Iyyer
Keywords
Abstract
Paper
conversational search
,
conversational question answering
,
open-retrieval
14:49
25/07/2020
Combining contextualized and non-contextualized query translations to improve CLIR
Suraj Nair
,
Petra Galuscakova
,
Douglas W. Oard
Keywords
Abstract
Paper
CLIR
,
machine translation
8:39
25/07/2020
Deep critiquing for VAE-based recommender systems
Kai Luo
,
Hojin Yang
,
Ga Wu
,
Scott Sanner
Keywords
Abstract
Paper
deep learning
,
recommender systems
,
critiquing
14:15
25/07/2020
Copula guided neural topic modelling for short texts
Lihui Lin
,
Hongyu Jiang
,
Yanghui Rao
Keywords
Abstract
Paper
short text modelling
,
Archimedean copulas
,
neural topic modelling
,
auto-encoding variational Bayes
8:46
25/07/2020
Balancing reinforcement learning training experiences in interactive information retrieval
Limin Chen
,
Zhiwen Tang
,
Grace Hui Yang
Keywords
Abstract
Paper
deep reinforcement learning
,
interactive IR
,
dynamic search
10:22
25/07/2020
Neural unified review recommendation with cross attention
Hongtao Liu
,
Wenjun Wang
,
Hongyan Xu
and
Qiyao Peng
,
Pengfei Jiao
Keywords
Abstract
Paper
cross attention
,
review analysis
,
recommender system
10:12
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
Abstract
Paper
nature language understanding
,
neural networks
,
long text
,
reading behavior
,
user modeling
16:42
25/07/2020
Towards differentially private text representations
Lingjuan Lyu
,
Yitong Li
,
Xuanli He
,
Tong Xiao
Keywords
Abstract
Paper
privacy-preserving
,
neural representations
,
natural language processing
10:18
25/07/2020
TAGNN: Target attentive graph neural networks for session-based recommendation
Feng Yu
,
Yanqiao Zhu
,
Qiang Liu
and
Shu Wu
,
Liang Wang
,
Tieniu Tan
Keywords
Abstract
Paper
session-based recommendation
,
target attention
,
graph neural networks
7:31
25/07/2020
Leveraging transitions of emotions for sarcasm detection
Ameeta Agrawal
,
Aijun An
,
Manos Papagelis
Keywords
Abstract
Paper
sarcasm detection
,
emotion detection
7:51
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