Collaborative filtering is a technique that takes into account the common characteristics of users and items in recommender systems. Matrix decompositions are one of the most used techniques in collaborative filtering based recommendation ...

Image Coding for Machines (ICM) aims to compress images for AI tasks analysis rather than meeting human perception. Learning a kind of feature that is both general (for AI tasks) and compact (for compression) is pivotal for its success. In this ...

The opinions of people who previously experienced items are crucial to decision-making. My Ph.D. research project is focused on finding a better way to recommend experience goods and in particular services such as apartments and tourism experiences by ...

Multiindex comprehensive evaluation (MICE) is the basis for scientific and democratic decision-making. One of its basic functions is to distinguish evaluation objects to the greatest extent possible. However, the behavioral bias of ...

• An evaluator distance-based information filtering (IFED) model is proposed to differentiate dense evaluated results.

• We propose IndeD, a new preference-based method for multi-objective recommendation.
• A new dominance relation concept considering the users’ preferences is defined.
• The new decision making process minimizes the distance to the user’...

Recommender Systems (RSs) make personalized suggestions of relevant items to users. However, the concept of relevance may involve different quality aspects (objectives), such as accuracy, novelty, and diversity. In addition, users may have their ...

Recommendation systems assist web users with personalized suggestions based on past preferences for products, or items including documents, books, movies, and research papers. The plethora and variety of research papers on the Web and digital ...

Aiming at the problems existing in the traditional power grid information security access system, such as poor data processing timeliness, low recall rate and low information filtering accuracy, a power grid information security access system ...

In recent years, graph neural networks have been widely used in natural language processing and speech recognition. However, there is relatively little exploration of graph neural networks in recommendation systems. In this work, we strive to ...

Modern information access systems extensively use personalization, automatically filtering and/or ranking content based on the user profile, to guide users to the most relevant material. However, this can also lead to unwanted effects such as the "filter ...

Information filtering has emerged as a prominent paradigm of timely information delivery; in such a setup, users submit profiles that express their information needs to a server which is responsible for notifying them when information that matches their ...

• The nonlinear system with multiplicative parameters and random delay is considered.

This paper proposes an information filtering-based distributed fusion for nonlinear uncertain systems with multiplicative random parameters and randomly delayed measurements in sensor networks. This is a typical nonlinear and non-...

With the growing popularity of microblogging services such as Twitter in recent years, an increasing number of users are using these services in their daily lives. The huge volume of information generated by users raises new opportunities in various ...

Pivot-based retrieval algorithms are commonly used to solve similarity queries in a number of application domains, such as multimedia retrieval, biomedical databases, time series and computer vision. The query performances of pivot-based index ...

Patterns are used as a fundamental means to analyse data in many text mining applications. Many efficient techniques have been developed to discover patterns. However, the excessive number of discovered patterns and lack of grounded (e.g. a priori ...

• Creatively propose the concept of Batched information retrieval, which significantly improves retrieval efficiency in certain scenes.

Nowadays, as is envisioned as one of the most popular and challenging research areas due to the rapid growth of web data, information retrieval (IR) serves as a fundamental technology in large scale dataset processing and analyzing. IR ...

• Applying accessibility norms does not guarantee a good experience for blind users.

Accessibility norms for the Web are based on the principle that everybody should have access to the same information. Applying these norms enables the oralization of all visual information by screen readers used by people with ...

Traditionally, research about social user profiling assumes that users share some similar interests with their followees. However, it lacks the studies on what topic and to what extent their interests are similar. Our study in online sharing sites ...

BackgroundPresent day control and monitoring systems are equipped with a large number of heterogeneous devices and are operated by many users with different roles and responsibilities. The information generated by these devices, although preprocessed ...

Web news provides a direct and efficient way to construct large text corpora. The creation of text data requires an understanding of HTML code and the preparation of customized parsing rules to identify text content in a webpage. Typically, parsing ...

Social media becomes a vital part in our daily communication practice, creating a huge amount of data and covering different real-world situations. Currently, there is a tendency in making use of social media during emergency management and response. ...