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{{Event | {{Event | ||
|Acronym=SIGIR 2020 | |Acronym=SIGIR 2020 | ||
| − | |Title= | + | |Title=International ACM SIGIR Conference on Research and Development in Information Retrieval |
|Ordinal=43 | |Ordinal=43 | ||
| + | |In Event Series=Event Series:SIGIR | ||
| + | |Single Day Event=no | ||
| + | |Start Date=2020/07/25 | ||
| + | |End Date=2020/07/30 | ||
| + | |Event Status=as scheduled | ||
| + | |Event Mode=online | ||
| + | |Academic Field=Information Retrieval | ||
| + | |Official Website=https://sigir.org/sigir2020/ | ||
| + | |Submission Link=https://easychair.org/my/conference?conf=sigir2020 | ||
|Type=Conference | |Type=Conference | ||
| − | |||
| − | |||
| − | |||
|Twitter account=@sigir2020 | |Twitter account=@sigir2020 | ||
| − | + | |has general chair=Yi Chang, Xueqi Cheng, Jimmy Huang | |
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |has general chair=Yi | ||
|has program chair=Jaap Kamps, Vanessa Murdock, Ji-rong Wen | |has program chair=Jaap Kamps, Vanessa Murdock, Ji-rong Wen | ||
|has workshop chair=Joemon M Jose, Jiliang Tang | |has workshop chair=Joemon M Jose, Jiliang Tang | ||
| Line 21: | Line 20: | ||
|pageEditor=User:Curator 19 | |pageEditor=User:Curator 19 | ||
|contributionType=1 | |contributionType=1 | ||
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}} | }} | ||
| + | {{Event Deadline | ||
| + | |Notification Deadline=2020/04/22 | ||
| + | |Abstract Deadline=2020/01/15 | ||
| + | |Paper Deadline=2020/01/22 | ||
| + | |Submission Deadline=2020/01/22 | ||
| + | }} | ||
| + | {{Organizer | ||
| + | |Contributor Type=organization | ||
| + | |Organization=Special Interest Group on Information Retrieval, Association for Computing Machinery | ||
| + | }} | ||
| + | {{Event Metric}} | ||
| + | {{S Event}} | ||
==Important Dates== | ==Important Dates== | ||
| − | Call for Full Papers for SIGIR 2020, Xi’an, | + | Call for Full Papers for SIGIR 2020, Xi’an, China |
Important dates for full papers: | Important dates for full papers: | ||
| − | * Time zone: Anywhere On Earth (AOE) | + | *Time zone: Anywhere On Earth (AOE) |
| − | * Full paper abstracts due: Wed, Jan 15, 2020 | + | *Full paper abstracts due: Wed, Jan 15, 2020 |
| − | * Full papers due: Wed, Jan 22, 2020 | + | *Full papers due: Wed, Jan 22, 2020 |
| − | * Full paper notifications: Wed, Apr 22, 2020 | + | *Full paper notifications: Wed, Apr 22, 2020 |
| − | 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). The 43rd ACM SIGIR conference, to be held in Xi'an, | + | 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). The 43rd ACM SIGIR conference, to be held in Xi'an, China, welcomes contributions related to any aspect of information retrieval and access, including theories and foundations, algorithms and applications, and evaluation and analysis. The conference and program chairs invite those working in areas related to IR to submit high-impact original papers for review. |
==Topics== | ==Topics== | ||
'''Relevant topics''' include, but are not limited to: | '''Relevant topics''' include, but are not limited to: | ||
| − | * Search and Ranking: | + | *Search and Ranking: |
| − | * Research on core IR algorithmic topics, including IR at scale, such as: | + | *Research on core IR algorithmic topics, including IR at scale, such as: |
| − | * Queries and Query Analysis (e.g., query intent, query understanding, query suggestion and prediction, query representation and reformulation, spoken queries). | + | *Queries and Query Analysis (e.g., query intent, query understanding, query suggestion and prediction, query representation and reformulation, spoken queries). |
| − | * Web Search (e.g., ranking at web scale, link analysis, sponsored search, search advertising, adversarial search and spam, vertical search). | + | *Web Search (e.g., ranking at web scale, link analysis, sponsored search, search advertising, adversarial search and spam, vertical search). |
| − | * Retrieval Models and Ranking (e.g., ranking algorithms, learning to rank, language models, retrieval models, combining searches, diversity and aggregated search). | + | *Retrieval Models and Ranking (e.g., ranking algorithms, learning to rank, language models, retrieval models, combining searches, diversity and aggregated search). |
| − | * Efficiency and Scalability (e.g., indexing, crawling, compression, search engine architecture, distributed search, metasearch, peer-to-peer search, search in the cloud). | + | *Efficiency and Scalability (e.g., indexing, crawling, compression, search engine architecture, distributed search, metasearch, peer-to-peer search, search in the cloud). |
'''Foundations and Future Directions:''' | '''Foundations and Future Directions:''' | ||
Research with theoretical or empirical contributions on new technical or social aspects of IR, especially in more speculative directions or with emerging technologies, such as: | Research with theoretical or empirical contributions on new technical or social aspects of IR, especially in more speculative directions or with emerging technologies, such as: | ||
| − | * New Theory (e.g., theoretical models, concepts and foundations of information retrieval and access). | + | *New Theory (e.g., theoretical models, concepts and foundations of information retrieval and access). |
| − | * New Approaches (e.g., as part of a vision for important future IR scenarios). | + | *New Approaches (e.g., as part of a vision for important future IR scenarios). |
| − | * New Devices (e.g., consumer devices, wearable computing, neuroinformatics, sensors, Internet-of-Things, vehicles). | + | *New Devices (e.g., consumer devices, wearable computing, neuroinformatics, sensors, Internet-of-Things, vehicles). |
| − | * Ethics, Economics, and Politics (e.g., studies on broader implications, norms and ethics, economic value, political impact). | + | *Ethics, Economics, and Politics (e.g., studies on broader implications, norms and ethics, economic value, political impact). |
| − | * Perspectives (e.g., like keynotes with visionary reflections on a body of research, the field, theories, models, and methods, providing critical, provocative, creative ideas and insights, with actionable lessons for the near future). | + | *Perspectives (e.g., like keynotes with visionary reflections on a body of research, the field, theories, models, and methods, providing critical, provocative, creative ideas and insights, with actionable lessons for the near future). |
'''Domain-Specific Applications:''' | '''Domain-Specific Applications:''' | ||
Research focusing on domain-specific IR challenges, such as: | Research focusing on domain-specific IR challenges, such as: | ||
| − | * Local and Mobile Search (e.g., location-based search, mobile usage understanding, mobile result presentation, audio and touch interfaces, geographic search, location context in search). | + | *Local and Mobile Search (e.g., location-based search, mobile usage understanding, mobile result presentation, audio and touch interfaces, geographic search, location context in search). |
| − | * | + | *Social Search (e.g., social networks in search, social media in search, blog and microblog search, forum search). |
| − | * | + | *Search in Structured Data (e.g., XML search, graph search, ranking in databases, desktop search, email search, entity-oriented search). |
| − | * | + | *Multimedia Search (e.g., image search, video search, speech and audio search, music search). |
| − | * | + | *Education (e.g,. search for educational support, peer matching, info seeking in online courses/MOOCs). |
| − | * | + | *Legal (e.g., e-discovery, patents, other applications in law). |
| − | * | + | *Health (e.g., medical, genomics, bioinformatics, other applications in health). |
| − | * | + | *Knowledge Graph Applications (e.g. conversational search, semantic search, entity search, KB question answering, knowledge-guided NLP, search and recommendation). |
| − | * | + | *Other Applications and Domains (e.g., digital libraries, enterprise, expert search, news search, app search, archival search, new retrieval problems including applications of search technology for social good). |
'''Content Recommendation, Analysis and Classification:''' | '''Content Recommendation, Analysis and Classification:''' | ||
Research focusing on recommender systems, rich content representations and content analysis, such as: | Research focusing on recommender systems, rich content representations and content analysis, such as: | ||
| − | * Filtering and Recommending (e.g., content-based filtering, collaborative filtering, recommender systems, recommendation algorithms, zero-query and implicit search, personalized recommendation). | + | *Filtering and Recommending (e.g., content-based filtering, collaborative filtering, recommender systems, recommendation algorithms, zero-query and implicit search, personalized recommendation). |
| − | * | + | *Document Representation and Content Analysis (e.g., summarization, text representation, linguistic analysis, readability, NLP for search applications, cross- and multi-lingual search, information extraction, opinion mining and sentiment analysis, clustering, classification, topic models). |
| − | * | + | *Knowledge Aquisition (e.g. information extraction, relation extraction, event extraction, query understanding, human-in-the-loop knowledge aquisition) |
'''Artificial Intelligence, Semantics, and Dialog:''' | '''Artificial Intelligence, Semantics, and Dialog:''' | ||
Research bridging AI and IR, especially toward deep semantics and dialog with intelligent agents, such as: | Research bridging AI and IR, especially toward deep semantics and dialog with intelligent agents, such as: | ||
| − | * Core AI (e.g. deep learning for IR, embeddings, intelligent personal assistants and agents). | + | *Core AI (e.g. deep learning for IR, embeddings, intelligent personal assistants and agents). |
| − | * Question Answering (e.g., factoid and non-factoid question answering, interactive question answering, community-based question answering, question answering systems). | + | *Question Answering (e.g., factoid and non-factoid question answering, interactive question answering, community-based question answering, question answering systems). |
| − | * Conversational Systems (e.g., conversational search interaction, dialog systems, spoken language interfaces, intelligent chat systems). | + | *Conversational Systems (e.g., conversational search interaction, dialog systems, spoken language interfaces, intelligent chat systems). |
| − | * Explicit Semantics (e.g. semantic search, named-entities, relation and event extraction). | + | *Explicit Semantics (e.g. semantic search, named-entities, relation and event extraction). |
| − | * Knowledge Representation and Reasoning (e.g., link prediction, knowledge graph completion, query understanding, knowledge-guided query and document representation, ontology modeling). | + | *Knowledge Representation and Reasoning (e.g., link prediction, knowledge graph completion, query understanding, knowledge-guided query and document representation, ontology modeling). |
| − | * Ethics (e.g., algorithmic fairness, accountability, transparency, confidentiality, representativeness, discrimination and harmful bias). | + | *Ethics (e.g., algorithmic fairness, accountability, transparency, confidentiality, representativeness, discrimination and harmful bias). |
'''Human factors and interfaces:''' Research into user-centric aspects of IR including user interfaces, behavior modeling, privacy, interactive systems, such as: | '''Human factors and interfaces:''' Research into user-centric aspects of IR including user interfaces, behavior modeling, privacy, interactive systems, such as: | ||
| − | * Mining and Modeling Users (e.g., user and task models, click models, log analysis, behavioral analysis, modeling and simulation of information interaction, attention modeling). | + | *Mining and Modeling Users (e.g., user and task models, click models, log analysis, behavioral analysis, modeling and simulation of information interaction, attention modeling). |
| − | * Interactive Search (e.g., search interfaces, information access, exploratory search, search context, whole-session support, proactive search, personalized search). | + | *Interactive Search (e.g., search interfaces, information access, exploratory search, search context, whole-session support, proactive search, personalized search). |
| − | * Social Search (e.g., social media search, social tagging, crowdsourcing). | + | *Social Search (e.g., social media search, social tagging, crowdsourcing). |
| − | * Collaborative Search (e.g., human-in-the-loop, knowledge aquisition). | + | *Collaborative Search (e.g., human-in-the-loop, knowledge aquisition). |
| − | * Information Security (e.g., privacy, surveillance, censorship, encryption, security). | + | *Information Security (e.g., privacy, surveillance, censorship, encryption, security). |
'''Evaluation:''' | '''Evaluation:''' | ||
Research that focuses on the measurement and evaluation of IR systems, such as: | Research that focuses on the measurement and evaluation of IR systems, such as: | ||
| − | * User-centered Evaluation (e.g., user experience and performance, user engagement and search task design). | + | *User-centered Evaluation (e.g., user experience and performance, user engagement and search task design). |
| − | * System-centered Evaluation (e.g., novel types of test collections, evaluation metrics). | + | *System-centered Evaluation (e.g., novel types of test collections, evaluation metrics). |
| − | * Beyond Cranfield (e.g., online evaluation, task-based, session-based, multi-turn, interactive search). | + | *Beyond Cranfield (e.g., online evaluation, task-based, session-based, multi-turn, interactive search). |
| − | * Beyond Labels (e.g., simulation, implicit signals, eye-tracking and physiological approaches, such as fMRI). | + | *Beyond Labels (e.g., simulation, implicit signals, eye-tracking and physiological approaches, such as fMRI). |
| − | * Beyond Effectiveness (e.g., usefulness, urgency, value, utility, credibility, authority, diversity). | + | *Beyond Effectiveness (e.g., usefulness, urgency, value, utility, credibility, authority, diversity). |
| − | * Methodology (e.g., statistical methods and reproducibility issues in IR evaluation). | + | *Methodology (e.g., statistical methods and reproducibility issues in IR evaluation). |
==Committees== | ==Committees== | ||
'''General co-Chairs''' | '''General co-Chairs''' | ||
| − | * Yi | + | *Yi Chang, Jilin University, China |
| − | * Xueqi | + | *Xueqi Cheng, Chinese Academy of Sciences, China |
| − | * Jimmy Huang, York University, Canada | + | *Jimmy Huang, York University, Canada |
'''Program co-Chairs''' | '''Program co-Chairs''' | ||
| − | * Jaap Kamps, University of Amsterdam, Netherlands | + | *Jaap Kamps, University of Amsterdam, Netherlands |
| − | * Vanessa Murdock, Amazon, United States | + | *Vanessa Murdock, Amazon, United States |
| − | * Ji-rong Wen, Renmin University of | + | *Ji-rong Wen, Renmin University of China, China |
| − | '''Workshop | + | '''Workshop Chairs''' |
| − | * Joemon M Jose, University of Glasgow, U.K. | + | *Joemon M Jose, University of Glasgow, U.K. |
| − | * Jiliang Tang, Michigan State University, U.S.A. | + | *Jiliang Tang, Michigan State University, U.S.A. |
Latest revision as of 10:18, 8 November 2022
Deadlines
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Metrics
Venue
Warning: Venue is missing. The map might not show the exact location.
Important Dates
Call for Full Papers for SIGIR 2020, Xi’an, China Important dates for full papers:
- Time zone: Anywhere On Earth (AOE)
- Full paper abstracts due: Wed, Jan 15, 2020
- Full papers due: Wed, Jan 22, 2020
- Full paper notifications: Wed, Apr 22, 2020
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). The 43rd ACM SIGIR conference, to be held in Xi'an, China, welcomes contributions related to any aspect of information retrieval and access, including theories and foundations, algorithms and applications, and evaluation and analysis. The conference and program chairs invite those working in areas related to IR to submit high-impact original papers for review.
Topics
Relevant topics include, but are not limited to:
- Search and Ranking:
- Research on core IR algorithmic topics, including IR at scale, such as:
- Queries and Query Analysis (e.g., query intent, query understanding, query suggestion and prediction, query representation and reformulation, spoken queries).
- Web Search (e.g., ranking at web scale, link analysis, sponsored search, search advertising, adversarial search and spam, vertical search).
- Retrieval Models and Ranking (e.g., ranking algorithms, learning to rank, language models, retrieval models, combining searches, diversity and aggregated search).
- Efficiency and Scalability (e.g., indexing, crawling, compression, search engine architecture, distributed search, metasearch, peer-to-peer search, search in the cloud).
Foundations and Future Directions:
Research with theoretical or empirical contributions on new technical or social aspects of IR, especially in more speculative directions or with emerging technologies, such as:
- New Theory (e.g., theoretical models, concepts and foundations of information retrieval and access).
- New Approaches (e.g., as part of a vision for important future IR scenarios).
- New Devices (e.g., consumer devices, wearable computing, neuroinformatics, sensors, Internet-of-Things, vehicles).
- Ethics, Economics, and Politics (e.g., studies on broader implications, norms and ethics, economic value, political impact).
- Perspectives (e.g., like keynotes with visionary reflections on a body of research, the field, theories, models, and methods, providing critical, provocative, creative ideas and insights, with actionable lessons for the near future).
Domain-Specific Applications: Research focusing on domain-specific IR challenges, such as:
- Local and Mobile Search (e.g., location-based search, mobile usage understanding, mobile result presentation, audio and touch interfaces, geographic search, location context in search).
- Social Search (e.g., social networks in search, social media in search, blog and microblog search, forum search).
- Search in Structured Data (e.g., XML search, graph search, ranking in databases, desktop search, email search, entity-oriented search).
- Multimedia Search (e.g., image search, video search, speech and audio search, music search).
- Education (e.g,. search for educational support, peer matching, info seeking in online courses/MOOCs).
- Legal (e.g., e-discovery, patents, other applications in law).
- Health (e.g., medical, genomics, bioinformatics, other applications in health).
- Knowledge Graph Applications (e.g. conversational search, semantic search, entity search, KB question answering, knowledge-guided NLP, search and recommendation).
- Other Applications and Domains (e.g., digital libraries, enterprise, expert search, news search, app search, archival search, new retrieval problems including applications of search technology for social good).
Content Recommendation, Analysis and Classification: Research focusing on recommender systems, rich content representations and content analysis, such as:
- Filtering and Recommending (e.g., content-based filtering, collaborative filtering, recommender systems, recommendation algorithms, zero-query and implicit search, personalized recommendation).
- Document Representation and Content Analysis (e.g., summarization, text representation, linguistic analysis, readability, NLP for search applications, cross- and multi-lingual search, information extraction, opinion mining and sentiment analysis, clustering, classification, topic models).
- Knowledge Aquisition (e.g. information extraction, relation extraction, event extraction, query understanding, human-in-the-loop knowledge aquisition)
Artificial Intelligence, Semantics, and Dialog: Research bridging AI and IR, especially toward deep semantics and dialog with intelligent agents, such as:
- Core AI (e.g. deep learning for IR, embeddings, intelligent personal assistants and agents).
- Question Answering (e.g., factoid and non-factoid question answering, interactive question answering, community-based question answering, question answering systems).
- Conversational Systems (e.g., conversational search interaction, dialog systems, spoken language interfaces, intelligent chat systems).
- Explicit Semantics (e.g. semantic search, named-entities, relation and event extraction).
- Knowledge Representation and Reasoning (e.g., link prediction, knowledge graph completion, query understanding, knowledge-guided query and document representation, ontology modeling).
- Ethics (e.g., algorithmic fairness, accountability, transparency, confidentiality, representativeness, discrimination and harmful bias).
Human factors and interfaces: Research into user-centric aspects of IR including user interfaces, behavior modeling, privacy, interactive systems, such as:
- Mining and Modeling Users (e.g., user and task models, click models, log analysis, behavioral analysis, modeling and simulation of information interaction, attention modeling).
- Interactive Search (e.g., search interfaces, information access, exploratory search, search context, whole-session support, proactive search, personalized search).
- Social Search (e.g., social media search, social tagging, crowdsourcing).
- Collaborative Search (e.g., human-in-the-loop, knowledge aquisition).
- Information Security (e.g., privacy, surveillance, censorship, encryption, security).
Evaluation: Research that focuses on the measurement and evaluation of IR systems, such as:
- User-centered Evaluation (e.g., user experience and performance, user engagement and search task design).
- System-centered Evaluation (e.g., novel types of test collections, evaluation metrics).
- Beyond Cranfield (e.g., online evaluation, task-based, session-based, multi-turn, interactive search).
- Beyond Labels (e.g., simulation, implicit signals, eye-tracking and physiological approaches, such as fMRI).
- Beyond Effectiveness (e.g., usefulness, urgency, value, utility, credibility, authority, diversity).
- Methodology (e.g., statistical methods and reproducibility issues in IR evaluation).
Committees
General co-Chairs
- Yi Chang, Jilin University, China
- Xueqi Cheng, Chinese Academy of Sciences, China
- Jimmy Huang, York University, Canada
Program co-Chairs
- Jaap Kamps, University of Amsterdam, Netherlands
- Vanessa Murdock, Amazon, United States
- Ji-rong Wen, Renmin University of China, China
Workshop Chairs
- Joemon M Jose, University of Glasgow, U.K.
- Jiliang Tang, Michigan State University, U.S.A.
