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16th ACM International Conference on Web Search and Data Mining

16th ACM International Conference on Web Search and Data Mining

Singapore , Singapore

Submission Deadline: Friday 12 Aug 2022

Conference Dates: Feb 27, 2023 - Mar 03, 2023

Research
Impact Score 11.20

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 11.20
Contributing Best Scientists: 190
H5-index:
Papers published by Best Scientists 278
Research Ranking (Computer Science) 30

Conference Call for Papers

WSDM proceedings are published in the ACM Digital Library. We invite papers in the areas below, with example topics listed for each area.

Web Search

Algorithms for web-scale search; Adversarial search; Search user interfaces and interaction; Distributed search, metasearch, peer-to-peer search; Local and mobile search; Multimedia web search, crosslingual search; Query analysis and query processing; Search benchmarking and evaluation; Search user behavior and log analysis; Search with Foundation Models

Web Mining and Content Analysis

Crawling and indexing web content; Web recommender systems and algorithms; Clustering, classification, and summarization of web data; Data, entity, event, and relationship extraction; Knowledge acquisition and automatic construction of knowledge bases; Large-scale graph analysis; Semantic search, faceted search, and knowledge graphs; Multimodal data mining; Scalable algorithms for mining web data; Opinion mining and sentiment analysis; Web traffic and log analysis; Web measurements, web evolution, and web models.

Web of Things, Ubiquitous and Mobile Computing

Geo-location data analysis; Mobility and behavior data mining; Location-based social networks; User activity modeling and exploitation.

Privacy, Fairness, Interpretability

Fairness and accountability in ranking, recommendations and advertising; Explainability in web systems; Model and algorithm transparency; Interpretable models of individual and social behavior; Web search and data mining under privacy constraints.

Social Networks

Link prediction and community detection; Social network analysis and graph algorithms; Computational social science; Influence and viral marketing in social networks; Social sensing; Searching social and real-time content; Social network dynamics; Sampling, experiments, and evaluation in social networks; Social media analysis: blogs and friendship networks; Social network analysis, theories, models and applications; Social reputation and trust.

Intelligent Assistants

Voice search, conversational search, and dialog systems; Personal assistants, dialogue models, and conversational interaction; Task-driven search; Zero-query and implicit search.

Crowdsourcing and Human Computation

Collaborative search and question answering; Human-in-the-Loop and Collaborative Human-AI systems.

Emerging Applications

Monitoring and prevention of epidemics; Mental health and well-being support systems; Systems and algorithms for urban applications; Online education systems; Web Mining for Social Good.

Information Integrity

Systems and algorithms for monitoring and detection of misinformation and fake news; Prevalence and virality of misinformation; Misinformation sources and origins; Source and content credibility; Detecting and combating spamming, trolling, aggression, and toxic online behaviors; Methods for detecting and mitigating low quality and offensive content, bullying and hate speech; Polarization, Extremism and Radicalization; Echo chambers and Filter bubbles.

Overview

Top Research Topics at Web Search and Data Mining?

  • Information retrieval (31.11%)
  • Artificial intelligence (30.35%)
  • Machine learning (21.17%)

Web Search and Data Mining investigates areas of study like Information retrieval, Artificial intelligence, Machine learning, World Wide Web and Data mining. Ranking (information retrieval), Search engine, Relevance (information retrieval), Web search query and Web query classification are some of the study areas of Information retrieval discussed. The event focuses on Web query classification as well as the interrelated topic of Query expansion.

It addresses concerns in Query expansion which are intertwined with other disciplines, such as Query language, Sargable and Query optimization. The concepts on Artificial intelligence presented in it can also apply to other research fields, including Recommender system, Set (abstract data type) and Natural language processing. The main emphasis of Web Search and Data Mining is the subject of Recommender system, focusing on Collaborative filtering.

It explores issues in Machine learning which can be linked to other research areas like Context (language use) and Inference. The conference connects the study in World Wide Web with the closely related area of Data science. Data mining and Scalability are closely related fields of research discussed in Web Search and Data Mining.

What are the most cited papers published at the conference?

  • TwitterRank: finding topic-sensitive influential twitterers (1537 citations)
  • Everyone's an influencer: quantifying influence on twitter (1307 citations)
  • Recommender systems with social regularization (1195 citations)

Research areas of the most cited articles at Web Search and Data Mining:

The conference publications mainly tackle studies in Information retrieval, Artificial intelligence, Machine learning, World Wide Web and Data mining. Social network, Recommender system and Natural language processing are some topics wherein Artificial intelligence research discussed in the most cited publications has an impact. The works on Machine learning tackled in the conference papers bring together disciplines like Context (language use) and Inference.

What topics the last edition of the conference is best known for?

  • Artificial intelligence
  • Machine learning
  • The Internet

The previous edition focused in particular on these issues:

Web Search and Data Mining focuses on Artificial intelligence, Machine learning, Recommender system, Information retrieval and Theoretical computer science. Context (language use), Graph (abstract data type) and Set (abstract data type) are some topics wherein Artificial intelligence research discussed in the event have an impact. Web Search and Data Mining addresses concerns in the field of Machine learning by exploring it in line with topics in Inference which intersect with Bayesian probability subjects.

Research in Recommender system tackled falls within the umbrella of World Wide Web. The tackled World Wide Web research is interrelated with Key (cryptography) which concerns subjects like Data science. Information retrieval works presented in it have a specific focus on Search engine.

The most cited articles from the last conference are:

  • Question Rewriting for Conversational Question Answering (21 citations)
  • Towards Long-term Fairness in Recommendation (16 citations)
  • Node Similarity Preserving Graph Convolutional Networks (16 citations)

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Research.com

The top authors publishing at Web Search and Data Mining (based on the number of publications) are:

  • Maarten de Rijke (23 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Huan Liu (22 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Yi Chang (17 papers) published 1 paper at the last edition,
  • Jiawei Han (17 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Jure Leskovec (16 papers) published 1 paper at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing at Web Search and Data Mining (based on the number of publications) are:

  • Microsoft (197 papers) published 9 papers at the last edition, 1 more than at the previous edition,
  • Yahoo! (132 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Google (87 papers) published 11 papers at the last edition, 5 more than at the previous edition,
  • Tsinghua University (52 papers) published 4 papers at the last edition, 2 less than at the previous edition,
  • Carnegie Mellon University (42 papers) published 1 paper at the last edition, 1 less than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Research.com

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

Research.com

During the most recent 2021 edition, 6.06% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.03% were posted by at least one author from the top 10 institutions publishing at the conference. Another 20.65% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.35% of all publications and 30.97% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Research.com

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

Research.com

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

Research.com

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Research.com

Previous Editions

WSDM 2022 : ACM International Conference on Web Search and Data Mining

Feb 28, 2022 - Feb 28, 2022

Phoenix, AZ , United States, United States

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