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Joint Effects of Context and User History for Predicting Online Conversation Re-entries
[article]
2019
arXiv
pre-print
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In order to help users better engage with each other online, we study a challenging problem of re-entry prediction foreseeing whether a user will come back to a conversation they once participated in. ...
Specifically, we propose a neural framework with three main layers, each modeling context, user history, and interactions between them, to explore how the conversation context and user chatting history ...
We thank the three anonymous reviewers for the insightful suggestions on various aspects of this work. ...
arXiv:1906.01185v1
fatcat:ixh2tq447ne33owwstlgxbi2vm
Joint Effects of Context and User History for Predicting Online Conversation Re-entries
2019
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
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In order to help users better engage with each other online, we study a challenging problem of re-entry prediction foreseeing whether a user will come back to a conversation they once participated in. ...
Specifically, we propose a neural framework with three main layers, each modeling context, user history, and interactions between them, to explore how the conversation context and user chatting history ...
We thank the three anonymous reviewers for the insightful suggestions on various aspects of this work. ...
doi:10.18653/v1/p19-1270
dblp:conf/acl/ZengLWW19
fatcat:442rryiebjb7rjnanlr5dxy3bu
Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling
[article]
2022
arXiv
pre-print
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2021 pre-print arXiv:2108.06975v2 fatcat:rzommpv4ujfe3je5yur2csfaaeOther Versions
in a multi-party conversation (henceforth Successful New-entry Prediction). ...
from newcomer's chatting history and conversation's ongoing context. ...
the prediction of user responses [3, 7] , thread-ending turns [26] , and re-entry behavior [54] , etc. ...
arXiv:2108.06975v3
fatcat:kt37vjplcjbpxjjlbmxiptz7ay
Re-entry Prediction for Online Conversations via Self-Supervised Learning
[article]
2021
arXiv
pre-print
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In this paper, we propose three interesting and well-founded auxiliary tasks, namely, Spread Pattern, Repeated Target user, and Turn Authorship, as the self-supervised signals for re-entry prediction. ...
Re-entry prediction task is thus proposed to help people keep track of the discussions which they wish to continue. ...
We thank the three anonymous reviewers for the insightful suggestions on various aspects of this work. ...
arXiv:2109.02020v1
fatcat:7ujnns7wmzeafb7xgy6x5r7ewq
Modeling Global and Local Interactions for Online Conversation Recommendation
2022
ACM Transactions on Information Systems (TOIS; Formerly: ACM Transactions on Office Information Systems)
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The popularity of social media platforms results in a huge volume of online conversations produced every day. ...
To help users better engage in online conversations, this article presents a novel framework to automatically recommend conversations to users based on what they said and how they behaved in their chatting ...
ACKNOWLEDGMENTS We thank the reviewers for the insightful suggestions on various aspects of this work. ...
doi:10.1145/3473970
fatcat:cufyoyuegbferldx2fjohe67gq
User Response Prediction in Online Advertising
[article]
2021
arXiv
pre-print
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What are the parties involved in the online digital advertising eco-systems? What type of data are available for user response prediction? ...
In this survey, we provide a comprehensive review of user response prediction in online advertising and related recommender applications. ...
They analyzed the effect of elapsed time as a feature for conversion rate prediction and using targeting and retargeting 2 paradigm for different users in online advertising systems. ...
arXiv:2101.02342v2
fatcat:clgefamcd5fmbeg5ephizy3zqu
Parsing Natural Language Conversations using Contextual Cues
2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
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However, understanding conversations also requires an understanding of conversational context and discourse structure across sentences. ...
We create a dataset for semantic parsing of conversations, consisting of 113 real-life sequences of interactions of human users with an automated email assistant. ...
InMind project and by the Samsung GRO program. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence ...
doi:10.24963/ijcai.2017/571
dblp:conf/ijcai/SrivastavaAM17
fatcat:othzbjb3sneabi2dvectasym2q
Multimedia Semantics: Interactions Between Content and Community
2012
Proceedings of the IEEE
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For each case, we present an overview of recent work and review the state of the art. ...
We examine the inter-relationship between content and social context through the prism of three key questions. First, how do we extract context in which social interactions occur? ...
We extract conversational themes for determining the "interestingness" of online conversations. ...
doi:10.1109/jproc.2012.2191529
fatcat:tayhtgkr6jfz7l2efpic4ygaqy
Online Advertising Response Models: Incorporating Multiple Creatives and Impression Histories
2011
Social Science Research Network
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We also allow for the accumulation and decay of advertising effects, as well as ad wear-out and restoration effects. ...
We propose a model that evaluates the effectiveness of each creative in a campaign given the targeted individual's ad impression history, as characterized by the timing and mix of previously seen ad creatives ...
context of an impression history. ...
doi:10.2139/ssrn.1896486
fatcat:bqce3qgt5vfejh7fhtvjkwhbpu
UNITER-Based Situated Coreference Resolution with Rich Multimodal Input
[article]
2021
arXiv
pre-print
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We present our work on the multimodal coreference resolution task of the Situated and Interactive Multimodal Conversation 2.0 (SIMMC 2.0) dataset as a part of the tenth Dialog System Technology Challenge ...
We propose a UNITER-based model utilizing rich multimodal context such as textual dialog history, object knowledge base and visual dialog scenes to determine whether each object in the current scene is ...
Table 1: Examples of knowledge base entry templates for
log. ...
arXiv:2112.03521v1
fatcat:v7aoucyybfgnpju5hu4kvovdpu
Towards Expressive Communication with Internet Memes: A New Multimodal Conversation Dataset and Benchmark
[article]
2021
arXiv
pre-print
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As a kind of new expression elements, Internet memes are popular and extensively used in online chatting scenarios since they manage to make dialogues vivid, moving, and interesting. ...
The dataset consists of ∼45K Chinese conversations with ∼606K utterances. ...
For the Internet meme selection, we use R n @k as the evaluation metrics where k is set to 1,2,5, and the model prediction is considered to be correct only if the true response is among the top-k entries ...
arXiv:2109.01839v1
fatcat:p2zd2drhcrfcrlmw23nka7jt3m
Adaptive Query Recommendation Techniques for Log Files Mining to Analysis User's Session Pattern
2016
International Journal of Computer Applications
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Generally, IP, date and time of the request, result for the request (with code), transaction size, protocol, request description, browser and operating system used by the user are some of the important ...
There is a wide variety of logs to stock knowledge about the search patterns of the users. ...
Science And Engineering, R.C.E.W Bankrota, and Jaipur for providing necessary support and lab facility. ...
doi:10.5120/ijca2016908085
fatcat:ugjknb7vnfcrrjgusfpoqz553e
Impact of TNF inhibitor therapy on joint replacement rates in rheumatoid arthritis: a matched cohort analysis of BSRBR-RA UK registry data
2019
Rheumatology
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Previous ecological data suggest a decline in the need for joint replacements in RA patients following the introduction of TNF inhibitor (TNFi) therapy, although patient-level data are lacking. ...
Our primary aim was to estimate the association between TNFi use and subsequent incidence of total hip replacement (THR) and total knee replacement. ...
license for the current study, and so are not publicly available. ...
doi:10.1093/rheumatology/key424
pmid:30649521
pmcid:PMC6587915
fatcat:xy2b7xr4izb4xcz2ibchehzzy4
TOD-DA: Towards Boosting the Robustness of Task-oriented Dialogue Modeling on Spoken Conversations
[article]
2021
arXiv
pre-print
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With such designs, our approach ranked first in both tasks of DSTC10 Track2, a benchmark for task-oriented dialogue modeling on spoken conversations, demonstrating the superiority and effectiveness of ...
and speech recognition errors in diverse granularities for bridging the gap between written and spoken conversations. ...
Joint Goal Value Prediction None Prediction
Rank Team ID Entry ID Slot Accuracy ...
arXiv:2112.12441v1
fatcat:bj5wpbulkva43h3tx5wnwhxnee
Open social learning communities
2011
Proceedings of the International Conference on Web Intelligence, Mining and Semantics - WIMS '11
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With the advent of open education resources, social networking technologies and new pedagogies for online and blended learning, we are in the early stages of a significant disruption in current models ...
of education. ...
Advice: Users seek advice on several topics, mostly college entry, essays, career advice, course advice, and seek mentoring
TECHNICAL SOLUTIONS 4.1 Real-time Conversation OpenStudy supports real-time ...
doi:10.1145/1988688.1988691
dblp:conf/wims/RamARS11
fatcat:bi6j33anrvcutgmi3d47v3qjoy
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