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|Title=ACM International Conference on Web Search and Data Mining | |Title=ACM International Conference on Web Search and Data Mining | ||
|Ordinal=13 | |Ordinal=13 | ||
| − | | | + | |In Event Series=Event Series:WSDM |
| − | | | + | |Single Day Event=no |
| − | | | + | |Start Date=2020/02/05 |
| + | |End Date=2020/02/09 | ||
| + | |Event Status=as scheduled | ||
| + | |Event Mode=on site | ||
|City=Houston | |City=Houston | ||
|Region=TX | |Region=TX | ||
|Country=Country:US | |Country=Country:US | ||
| + | |Academic Field=Data Mining; Information Retrieval | ||
| + | |Official Website=http://www.wsdm-conference.org/2020/ | ||
| + | |Type=Conference | ||
| + | |gndId=1205742212 | ||
|has Proceedings Link=https://dl.acm.org/doi/proceedings/10.1145/3336191 | |has Proceedings Link=https://dl.acm.org/doi/proceedings/10.1145/3336191 | ||
|pageCreator=User:Curator 89 | |pageCreator=User:Curator 89 | ||
|pageEditor=User:Curator 27 | |pageEditor=User:Curator 27 | ||
|contributionType=1 | |contributionType=1 | ||
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}} | }} | ||
{{Event Deadline | {{Event Deadline | ||
|Submission Deadline=2019/08/16 | |Submission Deadline=2019/08/16 | ||
| + | }} | ||
| + | {{Organizer | ||
| + | |Contributor Type=organization | ||
| + | |Organization=Special Interest Group on Hypertext, Hypermedia and Web, Association for Computing Machinery | ||
}} | }} | ||
{{Event Metric | {{Event Metric | ||
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Topics covered include but are not limited to: | Topics covered include but are not limited to: | ||
| − | * Web Search | + | *Web Search |
| − | * Adversarial search | + | *Adversarial search |
| − | * Algorithms and systems for Web-scale search | + | *Algorithms and systems for Web-scale search |
| − | * Audio and touch interfaces to search | + | *Audio and touch interfaces to search |
| − | * Distributed search, metasearch, peer-to-peer search | + | *Distributed search, metasearch, peer-to-peer search |
| − | * Indexing web content | + | *Indexing web content |
| − | * Local and mobile search | + | *Local and mobile search |
| − | * Multimedia Web search | + | *Multimedia Web search |
| − | * Query analysis and query processing | + | *Query analysis and query processing |
| − | * Search benchmarking and evaluation | + | *Search benchmarking and evaluation |
| − | * Search user behavior and log analysis | + | *Search user behavior and log analysis |
| − | * Search user interfaces and interaction | + | *Search user interfaces and interaction |
| − | * Searching social and real-time content | + | *Searching social and real-time content |
| − | * Semantic search, faceted search, and knowledge graphs | + | *Semantic search, faceted search, and knowledge graphs |
| − | * Sponsored search | + | *Sponsored search |
| − | * Task-driven search | + | *Task-driven search |
| − | * Vertical portals and search | + | *Vertical portals and search |
| − | * Voice search, conversational search, and dialog in search | + | *Voice search, conversational search, and dialog in search |
| − | * Web crawling | + | *Web crawling |
| − | * Zero-query and implicit search | + | *Zero-query and implicit search |
| − | * Web Mining | + | *Web Mining |
| − | * Algorithms and systems for Web-scale mining | + | *Algorithms and systems for Web-scale mining |
| − | * Clustering, classification, and summarization of Web data | + | *Clustering, classification, and summarization of Web data |
| − | * Data, entity, event, and relationship extraction | + | *Data, entity, event, and relationship extraction |
| − | * Data extraction, integration and cleaning | + | *Data extraction, integration and cleaning |
| − | * Discovery-driven Web and social network mining | + | *Discovery-driven Web and social network mining |
| − | * Geo and location data analysis | + | *Geo and location data analysis |
| − | * Knowledge acquisition and automatic construction of knowledge bases | + | *Knowledge acquisition and automatic construction of knowledge bases |
| − | * Large-scale graph analysis | + | *Large-scale graph analysis |
| − | * Modeling trustworthiness and reliability of online information | + | *Modeling trustworthiness and reliability of online information |
| − | * Multimodal data mining | + | *Multimodal data mining |
| − | * NLP for Web mining | + | *NLP for Web mining |
| − | * Online and streaming algorithms for Web data | + | *Online and streaming algorithms for Web data |
| − | * Opinion mining and sentiment analysis | + | *Opinion mining and sentiment analysis |
| − | * Web traffic and log analysis | + | *Web traffic and log analysis |
| − | * Web measurements, web evolution and web models | + | *Web measurements, web evolution and web models |
| − | * Web recommender systems and algorithms | + | *Web recommender systems and algorithms |
| − | * Mobile Mining | + | *Mobile Mining |
| − | * Neural architectures for Web search and mining | + | *Neural architectures for Web search and mining |
| − | * Web search and data mining under privacy constraints | + | *Web search and data mining under privacy constraints |
| − | * Social Search, Mining and Other Applications | + | *Social Search, Mining and Other Applications |
| − | * Personal assistants, dialogue models, and conversational interaction | + | *Personal assistants, dialogue models, and conversational interaction |
| − | * Collaborative search and question answering | + | *Collaborative search and question answering |
| − | * Social network dynamics | + | *Social network dynamics |
| − | * Human computation and crowdsourcing | + | *Human computation and crowdsourcing |
| − | * Influence and viral marketing in social networks | + | *Influence and viral marketing in social networks |
| − | * Instant messaging and social networks | + | *Instant messaging and social networks |
| − | * Link prediction and community detection | + | *Link prediction and community detection |
| − | * Location-based social networks | + | *Location-based social networks |
| − | * Searching and mining crowd-generated data and collaboratively generated content | + | *Searching and mining crowd-generated data and collaboratively generated content |
| − | * Sampling, experiments, and evaluation in social networks | + | *Sampling, experiments, and evaluation in social networks |
| − | * Social media analysis: blogs and friendship networks | + | *Social media analysis: blogs and friendship networks |
| − | * Social network analysis, theories, models and applications | + | *Social network analysis, theories, models and applications |
| − | * Social reputation, influence, and trust | + | *Social reputation, influence, and trust |
| − | * Social tagging | + | *Social tagging |
| − | * User activity modeling and exploitation | + | *User activity modeling and exploitation |
| − | * Interpretable models of individual and social behavior | + | *Interpretable models of individual and social behavior |
Authors are explicitly discouraged from submitting papers that do not clearly present their contribution with respect to previous works, that contain only incremental results, and that do not provide significant advances over existing approaches. | Authors are explicitly discouraged from submitting papers that do not clearly present their contribution with respect to previous works, that contain only incremental results, and that do not provide significant advances over existing approaches. | ||
Latest revision as of 08:59, 8 November 2022
Deadlines
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| Submission |
Metrics
Submitted Papers
615
Accepted Papers
91
Venue
Houston, TX, United States of America
Warning: Venue is missing. The map might not show the exact location.
WSDM (pronounced "wisdom") is one of the premier conferences on web-inspired research involving search and data mining. The 13th ACM International WSDM Conference will take place in Houston, Texas from February 5-9, 2020.
WSDM is a highly selective conference that includes invited talks, as well as refereed full papers. WSDM publishes original, high-quality papers related to search and data mining on the Web and the Social Web, with an emphasis on practical yet principled novel models of search and data mining, algorithm design and analysis, economic implications, and in-depth experimental analysis of accuracy and performance.
Original papers emphasizing novel algorithmic approaches are particularly encouraged. Application-oriented papers that make innovative technical contributions to research are welcome. Visionary papers on new and emerging topics are also welcome.
List of Topics
Topics covered include but are not limited to:
- Web Search
- Adversarial search
- Algorithms and systems for Web-scale search
- Audio and touch interfaces to search
- Distributed search, metasearch, peer-to-peer search
- Indexing web content
- Local and mobile search
- Multimedia Web search
- Query analysis and query processing
- Search benchmarking and evaluation
- Search user behavior and log analysis
- Search user interfaces and interaction
- Searching social and real-time content
- Semantic search, faceted search, and knowledge graphs
- Sponsored search
- Task-driven search
- Vertical portals and search
- Voice search, conversational search, and dialog in search
- Web crawling
- Zero-query and implicit search
- Web Mining
- Algorithms and systems for Web-scale mining
- Clustering, classification, and summarization of Web data
- Data, entity, event, and relationship extraction
- Data extraction, integration and cleaning
- Discovery-driven Web and social network mining
- Geo and location data analysis
- Knowledge acquisition and automatic construction of knowledge bases
- Large-scale graph analysis
- Modeling trustworthiness and reliability of online information
- Multimodal data mining
- NLP for Web mining
- Online and streaming algorithms for Web data
- Opinion mining and sentiment analysis
- Web traffic and log analysis
- Web measurements, web evolution and web models
- Web recommender systems and algorithms
- Mobile Mining
- Neural architectures for Web search and mining
- Web search and data mining under privacy constraints
- Social Search, Mining and Other Applications
- Personal assistants, dialogue models, and conversational interaction
- Collaborative search and question answering
- Social network dynamics
- Human computation and crowdsourcing
- Influence and viral marketing in social networks
- Instant messaging and social networks
- Link prediction and community detection
- Location-based social networks
- Searching and mining crowd-generated data and collaboratively generated content
- Sampling, experiments, and evaluation in social networks
- Social media analysis: blogs and friendship networks
- Social network analysis, theories, models and applications
- Social reputation, influence, and trust
- Social tagging
- User activity modeling and exploitation
- Interpretable models of individual and social behavior
Authors are explicitly discouraged from submitting papers that do not clearly present their contribution with respect to previous works, that contain only incremental results, and that do not provide significant advances over existing approaches.
