Due to the popularity of social media websites, extensive research efforts have been
dedicated to tag-based social image search. Both visual information and tags have been …

Emerging as a dominant content format amid the shift from television to mobile, short-form
videos wield immense potential across diverse domains. However, the scarcity of datasets …

Due to openness and transparency initiatives, a vast amount of data is being made publicly
available. This data has great significance for business and society. However, it also led to …

We propose a method to aggregate and organize a large, multi-source dataset of news
articles into a collection of major stories, and automatically name and visualize these stories …

Suppose we have a black-box function (eg, deep neural network) that takes an image as
input and outputs a value that indicates preference. How can we retrieve optimal images …

With the great popularity of social photos sharing websites, a tremendous volume of digital
images is hosted together with their associated tags. Thus, extensive research efforts have …

Document comprehensibility is one of key factors determining document quality and, in
result, user's satisfaction. Relevant web pages are of little utility if they are incomprehensible …

Purpose–This study aims to consider the value of user‐assigned image tags by comparing
the facets that are represented in image tags with those that are present in image queries to …

Users are dissatisfied with services. Since the service is not tailor-made for a user, it is
natural for dissatisfaction to arise. The problem is, that even if users are dissatisfied, they …

We describe a new concept for improving Web search performance and/or increasing the
information credibility of search results using Web1. 0 and Web2. 0 content in a …