Information Processing and Management: an International Journal

Controllable response generation is an attractive and valuable task to the success of conversational systems. However, controlling both pattern and content of the response has not been well studied in existing models since they are ...

• We develop a framework that tackles the task of controllable response generation, where diverse patterns and content are considered in the response ...

Popularity bias is an undesirable phenomenon associated with recommendation algorithms where popular items tend to be suggested over long-tail ones, even if the latter would be of reasonable interest for individuals. Such intrinsic ...

• An analysis of aggregation techniques in terms of popularity bias is presented.

Predicting emerging research topics is important to researchers and policymakers. In this study, we propose a two-step solution to the problem of emerging topic prediction. The first step forecasts the future popularity score, a novel ...

In Codice Ratio is a research project to study techniques for analyzing the contents of historical documents conserved in the Vatican Apostolic Archives. In this paper, we present our efforts to develop a system to ...

During the outbreak of the new Coronavirus (2019-nCoV) in 2020, the spread of fake news has caused serious social panic. Fake news often uses multimedia information such as text and image to mislead readers, spreading and expanding its ...

User-generated content (UGC) based on customer opinions and experiences has increasingly become a rich resource of business opportunities. This study proposes a change mining framework to address the key shortcomings of the traditional ...

Texts are the major information carrier for internet users, from which learning the latent representations has important research and practical value. Neural topic models have been proposed and have great performance in extracting ...

• We propose a SR-NSTM for sparse and explainable text representation.
• We extend ...

• A technical due diligence provides the information needed to identify risks, understand the technology, and establish metrics.

• ...

The dynamics of transformations that the world is experiencing at global dimensions due to the intensity of technological changes demand sophisticated management tools to assess risks in the business and industrial sectors, aimed at ...

In recent years, the amount of data stored in computer environments has increased significantly. The growth in volume has made it very difficult to store and process large amounts of data on a single server. Distributed storage ...

• Distributed systems provide solution to scalability and high availability problems.

In heterogeneous e-commerce recommender systems, the type and attribute information of users and products contain rich semantics, which can benefit the prediction and explanation of user ratings of interesting items. Existing studies ...

• A novel heterogeneous type-specific entity representation method is proposed.
• A ...

Many recent studies have demonstrated that the propagation patterns of news on social media can facilitate the detection of fake news. Most of these studies rely on the complete propagation networks to build their model, which is not ...

• The propagation pattern of news on social media can facilitate fake news detection.

• This is the first study to investigate blind and visually impaired (BVI) users’ coping tactics and their associated help-seeking situations

The authors conducted the first study to investigate the types of coping tactics that blind and visually impaired (BVI) users applied when they encountered difficulties interacting with digital libraries (DLs). Coping tactics are ...

Extracting events from texts using neural networks has gained increasing research focus in recent years. However, existing methods prepare candidate arguments in a separate classifier suffering from the error propagation problem and ...

• The concepts of system fault evolution process and space fault network theory are proposed by the authors.

To study the fuzzy logical relationship between the cause event and result event in the system fault evolution process, a method of forming the expression of the fuzzy logical relationship by superposition of the basic logical ...

We study the effectiveness of Feature Density (FD) using different linguistically-backed feature preprocessing methods in order to estimate dataset complexity, which in turn is used to comparatively estimate the potential performance ...

• Feature Density can be utilized to reduce of the number of required experiments iterations.

We study the task of on-line scientific resource profiling, which aims at better understanding and summarizing on-line scientific resources to promote resource search and recommendation systems. To this end we propose to exploit the ...

• We are the first to exploit resource citation information in scientific literature.

Suggesting new venues to be visited by a user in a specific city remains an interesting but challenging problem, partly because of the inherent high sparsity of the data available in location-based social networks (LSBNs). At the same ...

• Use of three different aggregation techniques in Point of interest recommendation.

• Both OL and WOM learning have significant positive influences on the efficiency of online shopping processes.

Observational learning (OL) and word-of-mouth learning (WOML), two main types of social learning, can influence online consumer decisions. The consumer decision process is not limited to consumption decisions; it may be viewed as a ...

Fine-grained sentiment analysis has shown great benefits to real-word applications, such as for social media texts and product reviews. While the current state-of-the-art methods employ external syntactic dependency knowledge and ...

• Individual group joining behavior positively affects individual online demand and reputation.

Group service in online health communities (OHCs) is a novel form of service where physicians can share knowledge and collaborate with others to provide better services to patients through the Internet. Although many literatures have ...

Fake news or misinformation is the information or stories intentionally created to deceive or mislead the readers. Nowadays, social media platforms have become the ripe grounds for misinformation, spreading them in a few minutes, which ...

• Novelty attracts human attention and acts as a stimulus for information sharing

• Feedback information type has varying effect on intrinsic motivation.
• The ...

Citizen science involves non-expert volunteers collaborating to investigate scientific problems. Volunteers’ knowledge contribution is a key premise to the success of citizen science projects. Despite previous research on the type and ...

Hashing has been shown to be successful in a number of Approximate Nearest Neighbor (ANN) domains, ranging from medicine, computer vision to information retrieval. However, current deep hashing methods either ignore both rich ...

This paper is our attempt at answering a twofold question covering the areas of ethics and authorship analysis solutions. Firstly, since the methods used for performing authorship analysis imply that an author can be recognized by the ...

• A shift in writer’s opinions poses a challenge to author analysis solutions.
• ...

Fairness emerged as an important requirement to guarantee that Machine Learning (ML) predictive systems do not discriminate against specific individuals or entire sub-populations, in particular, minorities. Given the inherent ...

• A catalog of machine learning fairness notions.
• Machine learning fairness ...

Previous studies have concluded that there are significant differences in travelers’ preferences depending on the trip type. The problem of extracting users’ preferences from a corpus of text can be solved by using traditional ...

Analysis of subjective texts like offensive content or hate speech is a great challenge, especially regarding annotation process. Most of current annotation procedures are aimed at achieving a high level of agreement in order to ...

• A list of requirements for new human-centered content analyses.
• 3 perspectives ...

Dubious credibility of online news has become a major problem with negative consequences for both readers and the whole society. Despite several efforts in the development of automatic methods for measuring credibility in news stories, ...

• Web browser extension for online news credibility assessment.
• A visual ...

• We explored the influences of gamification characteristics on stressors and strain for individuals.

Despite the prevalent use of gamification in the health management context, its “dark side” for users remains unknown. To fill this research gap, we used the person–environment fit (P-E fit) model to build a theoretical model to ...