User profiling in personal information agents: a survey

2005 ◽  
Vol 20 (4) ◽  
pp. 329-361 ◽  
Author(s):  
DANIELA GODOY ◽  
ANALIA AMANDI
Keyword(s):  
State Of The Art ◽  
Personal Information ◽  
Relevant Information ◽  
User Profiling ◽  
The Internet ◽  
User Profiles ◽  
Amount Of Information ◽  
Information Agents ◽  
Personal Agents ◽  
Intelligent Information

Personal information agents have emerged in the last decade to help users to cope with the increasing amount of information available on the Internet. These agents are intelligent assistants that perform several information-related tasks such as finding, filtering and monitoring relevant information on behalf of users or communities of users. In order to provide personalized assistance, personal agents rely on representations of user information interests and preferences contained in user profiles. In this paper, we present a summary of the state-of-the-art in user profiling in the context of intelligent information agents. Existing approaches and lines of research in the main dimensions of user profiling, such as acquisition, learning, adaptation and evaluation, are discussed.

COOPERATIVE INFORMATION AGENTS FOR DIGITAL CITIES

2001 ◽  
Vol 10 (01n02) ◽  
pp. 197-215 ◽  
Author(s):  
SATOSHI OYAMA ◽  
KAORU HIRAMATSU ◽  
TORU ISHIDA
Keyword(s):  
Social Interaction ◽  
Relevant Information ◽  
Urban Life ◽  
The Internet ◽  
Digital City ◽  
Social Agents ◽  
Research Guidelines ◽  
Front End ◽  
Information Agents ◽  
The City

A digital city is a social information infrastructure for urban life (including shopping, business, transportation, education, welfare and so on). We started a project to develop a digital city for Kyoto based on the newest technologies including cooperative information agents. This paper presents an architecture for digital cities and shows the roles of agent interfaces in it. We propose two types of cooperative information agents as follows: (a) the front-end agents determine and refine users' uncertain goals, (b) the back-end agents extract and organize relevant information from the Internet, (c) Both types of agents opportunistically cooperate through a blackboard. We also show the research guidelines towards social agents in digital cities; the agent will foster social interaction among people who are living in/visiting the city.

Feature weighted clustering for user profiling

2017 ◽  
Vol 08 (04) ◽  
pp. 1750056 ◽  
Author(s):  
Ayse Cufoglu ◽  
Mahi Lohi ◽  
Colin Everiss
Keyword(s):  
Clustering Algorithm ◽  
Personal Information ◽  
Clustering Algorithms ◽  
User Profile ◽  
User Profiling ◽  
User Profiles ◽  
Related Information ◽  
Weighted Clustering ◽  
Feature Weight ◽  
Feature Values

Personalization is the adaptation of the services to fit the user’s interests, characteristics and needs. The key to effective personalization is user profiling. Apart from traditional collaborative and content-based approaches, a number of classification and clustering algorithms have been used to classify user related information to create user profiles. However, they are not able to achieve accurate user profiles. In this paper, we present a new clustering algorithm, namely Multi-Dimensional Clustering (MDC), to determine user profiling. The MDC is a version of the Instance-Based Learner (IBL) algorithm that assigns weights to feature values and considers these weights for the clustering. Three feature weight methods are proposed for the MDC and, all three, have been tested and evaluated. Simulations were conducted with using two sets of user profile datasets, which are the training (includes 10,000 instances) and test (includes 1000 instances) datasets. These datasets reflect each user’s personal information, preferences and interests. Additional simulations and comparisons with existing weighted and non-weighted instance-based algorithms were carried out in order to demonstrate the performance of proposed algorithm. Experimental results using the user profile datasets demonstrate that the proposed algorithm has better clustering accuracy performance compared to other algorithms. This work is based on the doctoral thesis of the corresponding author.

CONTEXT AWARE PERSONAL INFORMATION AGENTS

2002 ◽  
Vol 11 (03n04) ◽  
pp. 245-264 ◽  
Author(s):  
JOSEP LLUÍS ARCOS ◽  
ENRIC PLAZA
Keyword(s):  
Information Search ◽  
Context Awareness ◽  
Personal Information ◽  
Relevant Information ◽  
Context Aware ◽  
Information Spaces ◽  
Information Agent ◽  
Windows Of Opportunity ◽  
Information Agents ◽  
Specific Interests

We present a society of personal information agents that work for a community of users and that are aware of the physical and social context of their users. We show how context-awareness is a feature that allows the agents to improve their performance when they work with limited resources in information spaces with a large amount of information. The use of context information allows the agents to focus their information search and, as a result of this, increase the quantity and quality of information delivered to the user. Moreover, we propose an implemented agent architecture with context-aware capabilities. We discuss this architecture in detail, focusing on the capability of exploiting the windows of opportunity provided by the awareness of the users' activity. The agents use these windows of opportunity to furnish the user with information and advice in the situation where it can be most useful. In particular, we show how context-aware information agents can assist a community of attendees to big conferences and fairs. In this application, an information agent gathers relevant information based on a model of specific interests of a user. Given the multiplicity of interesting events, and their distribution in time and space, an information agent has to deliver the gathered information in a few hours and comply to the schedule constraints. Finally, we report some experimentation results to illustrate how context-awareness improve the service a society of information agents provides to a community of users in the conference application.

Indexing of Free, Web-based Electronic Resources

2010 ◽  
Vol 10 (1) ◽  
pp. 28-33 ◽  
Author(s):  
Glenda Browne
Keyword(s):  
Search Engine ◽  
Information Overload ◽  
Relevant Information ◽  
The Internet ◽  
Huge Amount ◽  
Electronic Resources ◽  
Social Bookmarking ◽  
Web Documents ◽  
Web Based ◽  
Amount Of Information

AbstractThe internet provides access to a huge amount of information, and most people experience problems with information overload rather than scarcity. Glenda Browne explains how indexing provides a way of increasing retrieval of relevant information from the content available. Manual, book-style indexes can be created for websites and individual web documents such as online books. Keyword metadata is a crucial behind the scenes aid to improved search engine functioning, and categorisation, social bookmarking and automated indexing also play a part.

scholarly journals State-of-the-Art Review on IoT Threats and Attacks: Taxonomy, Challenges and Solutions

2021 ◽  
Vol 13 (16) ◽  
pp. 9463
Author(s):  
Ritika Raj Krishna ◽  
Aanchal Priyadarshini ◽  
Amitkumar V. Jha ◽  
Bhargav Appasani ◽  
Avireni Srinivasulu ◽  
...  
Keyword(s):  
State Of The Art ◽  
Personal Information ◽  
Fog Computing ◽  
Vital Role ◽  
The Internet ◽  
Resource Limitations ◽  
Three Layer Architecture ◽  
Research Problems ◽  
Iot Devices ◽  
The Impact

The Internet of Things (IoT) plays a vital role in interconnecting physical and virtual objects that are embedded with sensors, software, and other technologies intending to connect and exchange data with devices and systems around the globe over the Internet. With a multitude of features to offer, IoT is a boon to mankind, but just as two sides of a coin, the technology, with its lack of securing information, may result in a big bane. It is estimated that by the year 2030, there will be nearly 25.44 billion IoT devices connected worldwide. Due to the unprecedented growth, IoT is endangered by numerous attacks, impairments, and misuses due to challenges such as resource limitations, heterogeneity, lack of standardization, architecture, etc. It is known that almost 98% of IoT traffic is not encrypted, exposing confidential and personal information on the network. To implement such a technology in the near future, a comprehensive implementation of security, privacy, authentication, and recovery is required. Therefore, in this paper, the comprehensive taxonomy of security and threats within the IoT paradigm is discussed. We also provide insightful findings, presumptions, and outcomes of the challenges to assist IoT developers to address risks and security flaws for better protection. A five-layer and a seven-layer IoT architecture are presented in addition to the existing three-layer architecture. The communication standards and the protocols, along with the threats and attacks corresponding to these three architectures, are discussed. In addition, the impact of different threats and attacks along with their detection, mitigation, and prevention are comprehensively presented. The state-of-the-art solutions to enhance security features in IoT devices are proposed based on Blockchain (BC) technology, Fog Computing (FC), Edge Computing (EC), and Machine Learning (ML), along with some open research problems.

Methodology for heuristic evaluation of the accessibility of statistical charts for people with low vision and color vision deficiency

2021 ◽  
Author(s):  
Rubén Alcaraz Martínez ◽  
Mireia Ribera Turró ◽  
Toni Granollers Saltiveri
Keyword(s):  
Literature Review ◽  
Contrast Sensitivity ◽  
Color Vision ◽  
State Of The Art ◽  
Low Vision ◽  
Scientific Research ◽  
Relevant Information ◽  
Heuristic Evaluation ◽  
User Profiles ◽  
Color Vision Deficiency

Abstract Purpose: Statistical charts have an important role in conveying, clarifying and simplifying information, and have a significant presence in fields such as education, scientific research or journalism. Despite numerous advances in the field of digital accessibility, charts are still a challenge for people with low vision and color vision deficiency (CVD) and create barriers that hinder their accessibility. The research presented in this paper aim is to create a heuristic set of indicators to evaluate the accessibility of statistical charts focusing on the needs of people with low vision and CVD. Methods: The set of heuristics presented has been developed based on the methodology by Quiñones et al. (2018), which consists of 8 stages: (1) a state of the art literature review; (2 and 3) analysis and description of the most relevant information obtained from this research; (4, 5, and 6) selection and specification of a first set of heuristics relating them to existing heuristics; (7) validation; and (8) refining the set to obtain a final list of heuristics. Results: A first set of heuristics (17 indicators) has been developed and applied on two heuristic evaluations, and has been amplified to 18 indicators. The final set covers the needs of the user profiles with low vision as well as the needs of the CVD and poor contrast sensitivity users. Conclusion: this research is a first step to widen accessibility requirements to statistical charts and to take into consideration users with low vision and CVD, often forgotten in accessibility research.

COLLABORATIVE WEB SEARCH BASED ON USER INTEREST SIMILARITY

2008 ◽  
Vol 17 (04) ◽  
pp. 495-521 ◽  
Author(s):  
DANIELA GODOY ◽  
ANALÍA AMANDI
Keyword(s):  
Recommender System ◽  
Web Search ◽  
Personal Information ◽  
Empirical Evaluation ◽  
User Interest ◽  
Agent Based ◽  
Information Agents ◽  
Personal Agents ◽  
Interest Similarity ◽  
The Web

The motivation behind personal information agents resides in the enormous amount of information available on the Web, which has created a pressing need for effective personalized techniques. In order to assists Web search these agents rely on user profiles modeling information preferences, interests and habits that help to contextualize user queries. In communities of people with similar interests, collaboration among agents fosters knowledge sharing and, consequently, potentially improves the results of individual agents by taking advantage of the knowledge acquired by other agents. In this paper, we propose an agent-based recommender system for supporting collaborative Web search in groups of users with partial similarity of interests. Empirical evaluation showed that the interaction among personal agents increases the performance of the overall recommender system, demonstrating the potential of the approach to reduce the burden of finding information on the Web.

Profiling and Personalization in Internet of Things Environments

2019 ◽  
pp. 89-110
Keyword(s):  
Internet Of Things ◽  
Formal Model ◽  
User Profile ◽  
Relevant Information ◽  
The Internet ◽  
User Profiles ◽  
Profile Model ◽  
Competence Profile ◽  
User Personalization ◽  
The Internet Of Things

The chapter considers problems of user personalization and resources competence modeling in the internet of things (IoT) environments. Creation of the user profiles and its utilization during the interaction of the user with IoT resources significantly increase the efficiency of such interaction. When the user generates a task to perform by the IoT resources, the formal model of this task is expanded by the relevant information in accordance with the user profile model. The obtained results should be presented to the user in accordance to his/her preferences from the user profile model. Resource competence profile should store information about the resource competencies and constraints that have to be satisfied to enable these competences. In this case, resource competence profiles automate their interaction in IoT environments.

THE STATE OF THE ART IN ADAPTIVE INFORMATION AGENTS

2002 ◽  
Vol 11 (01) ◽  
pp. 19-61 ◽  
Author(s):  
RAYMOND Y. K. LAU
Keyword(s):  
Exponential Growth ◽  
Information Overload ◽  
State Of The Art ◽  
Explanatory Power ◽  
Representation Learning ◽  
The Internet ◽  
Document Representation ◽  
Information Agents ◽  
Internet Information ◽  
Pros And Cons

With the exponential growth of the Internet, information seekers are faced with the so-called problem of information overload. Adaptive Information Agents have been developed to alleviate this problem. The Main issues in the development of these agents are document representation, learning, and classification. Various paradigms have been explored for the development of adaptive information agents, and the performance of these agents differs in terms of computational efficiency, classification effectiveness, learning autonomy, exploration capability, and explanatory power. To develop a basic under-standing of the pros and cons of these paradigms, some representative information agents are examined. Such a review also serves to identify a general for the development of the next generation adaptive information agents.

OPERATIVE-SEARCH MONITORING THE INTERNET AS AN ELEMENT OF COUNTERING CRIMES OF EXTREMIST DIRECTION

2020 ◽  
pp. 235-241
Author(s):  
Aleksey V. Kutuzov
Keyword(s):  
Law Enforcement ◽  
Relevant Information ◽  
Theoretical Development ◽  
The Internet ◽  
Legal Basis ◽  
Main Attention ◽  
Legal Norms ◽  
A Priority ◽  
Use Of Internet ◽  
Source Of Information

The article substantiates the need to use Internet monitoring as a priority source of information in countering extremism. Various approaches to understanding the defi nition of the category of «operational search», «law enforcement» monitoring of the Internet are analysed, the theoretical development of the implementation of this category in the science of operational search is investigated. The goals and subjects of law enforcement monitoring are identifi ed. The main attention is paid to the legal basis for the use of Internet monitoring in the detection and investigation of extremist crimes. In the course of the study hermeneutic, formal-logical, logical-legal and comparative-legal methods were employed, which were used both individually and collectively in the analysis of legal norms, achievements of science and practice, and development of proposals to refi ne the conduct of operational-search measures on the Internet when solving extremist crimes. The author’s defi nition of «operational-search monitoring» of the Internet is provided. Proposals have been made to improve the activities of police units when conducting monitoring of the Internet in the context of the search for relevant information to the disclosure and investigation of crimes of that category.

Sign in / Sign up

Export Citation Format

Share Document