Community question-answering (CQA) systems, such as Yahoo! Answers or Stack Overflow,
belong to a prominent group of successful and popular Web 2.0 applications, which are …

The rapid development of Community Question Answering (CQA) satisfies users' quest for
professional and personal knowledge about anything. In CQA, one central issue is to find …

The research field of Information Retrieval (IR) has evolved significantly, expanding beyond
traditional search to meet diverse user information needs. Recently, Large Language …

Ranking models lie at the heart of research on information retrieval (IR). During the past
decades, different techniques have been proposed for constructing ranking models, from …

In crowdsourced data aggregation task, there exist conflicts in the answers provided by large
numbers of sources on the same set of questions. The most important challenge for this task …

The number and extent of current Science, Technology & Innovation topics are changing all
the time, and their induced accumulative innovation, or even disruptive revolution, will …

Expert finding for question answering is a challenging problem in community-based
question answering (CQA) systems, arising in many real applications such as question …

Heterogeneous feature representations are widely used in machine learning and pattern
recognition, especially for multimedia analysis. The multi-modal, often also high …

The study of technological forecasting is an important part of patent analysis. Although fitting
models can provide a rough tendency of a technical area, the trend of the detailed content …

Crowdsourcing is a new computing paradigm that harnesses human effort to solve computer-
hard problems, such as entity resolution and photo tagging. The crowd (or workers) have …