User Profiling: A Survey from Modeling to Personalization Abstract The growth of the available information on the web and the diversity of its users is a valuable resource for personalization. The user profile includes the essential information about the user and it is an outcome of the user profiling process. Building and maintaining dynamic user profile is the main challenge in developing an effective personalized application. Many research projects and companies are interesting in developing modeling systems and personalizing user’s interaction with the system. We examine what information is being modeled for presenting various user models, how this information is acquired and collected, how the user model is represented and …show more content…
It may include demographic information, e.g., name, age, country, education level, etc. and should capture the behavior (patterns, goals, interesting topics, etc.) of a user shows when interacting with the Web. User modeling is defined as the process of gathering information about user’s interests, constructing, maintaining and using user profiles. For example in e-business systems, it captures online users’ characteristics, knows online users, provides customized products and services, and therefore improve user satisfaction. There are two approaches in user modeling process. These are the generation of an initial user profile for a new user and the continuous update of the profile information to adapt user’s changing preferences, interests and needs. A major challenge within user profiling is how user profiles can be constructed that accurately reflects users’ preferences. User profiling techniques have widely applied in various web search, user-adaptive software systems, web user identification, personalization, recommendation, e-market analysis, intelligent tutoring systems, intelligent agents, as well as personalized information retrieval and filtering. The personalized systems require some information about users in order to learn and respond to their interests and needs. The motivation of building user profiles is that each system
In my previous milestone paper, I identified a fundamental challenge that we must overcome in the launch of our application to our target market: Users must be educated in using our application the right way. I identified this as a fundamental problem because our application will not be able to keep the promise of safeguarding users if they do not use the product correctly. The consequences deriving from untrained users are considerably important, as the life of our users can depend on it.
This section discuss about the common traits or ideas observed in the three research topics. Although, each of the three articles discuss a unique idea, all of them are aimed at utilizing the web data to produce better results. Web data mining is a hot research topic in the current realm of big data. These papers discuss about the utilization of the valuable user generated data from the social media or the browser cookies to provide the best user experience in order to maintain the user interest in the company's product or to take effective decisions by an individual. All the three articles propose an idea to solution the problem stated, compared their results to the existing models and showed significant improvement.
Here we discuss about the common traits or ideas observed in the three research topics. Although, these three papers discuss about different ideas, they all fall under the web data mining domain. web data mining is a hot research topic in the current realm of big data. These papers discuss about the utilisation of the valuable user generated data from the social media or the the browser cookies to provide the best user experience in order to maintain the user interest in the company's product or to take effective decisions by the individual.
Now that you know a customer’s interests and preferences, deliver content that is highly relevant and personalized. Doing so will give an impression that you took the time to understand their needs, and craft an email or message that is only exclusive for them. Because more people share their lives on mobile, it will be easier to align your interests with
As a student that values the ability to make my own choices and opportunities to conduct research, UChicago appeals to my sense of learning. Unlike other universities, UChicago’s Department of Computer Science provides some of the best education in the world and allows students to build strength in an additional field due to the program’s flexibility. Not only that, UChicago’s Center for Scholarly Advancement encourages undergraduate research and would allow me to continue the scientific research that I am currently conducting, as well as allowing me to be mentored by great professors who are researching similar topics. In particular, Professor Ben Zhao and Professor Heather Zheng’s research on data-driven models of user behavior appeals to
A website is used by different people for different uses. Each website can be evaluated for its usefulness by the general public based on certain criteria as discussed in this article.
Centralize system which store user device data from multiple data sources. Execute the association rule algorithm in each data source and obtained association rule. Then integrate all association rule for given input data and final result is obtained by using user behavior analysis model to find out user behavior
1. What identifiable information will be collected from users through this website, how it will be used and shared.
Personalization: Customized content based on unique viewing history of the use of behavioral data, ratings and past purchases.
Since a set of personally important situations, which affect user preferences, is user-dependent, and since many situations can be described only in fuzzy terms, we provide users with an easy way to develop personal context ontology and to map it fuzzily into common ontology via
The Internet?s leading advertising company, DoubleClick, Inc. compiled thorough information on the browsing routine of millions of users. They
Employers are able to keep an eye on several aspects the employees. These monitoring is normally unregulated. Because of that there are company’s employee monitoring privacy policies. Suitable technology help the employers to get insight into employee behavior depending upon the “digital footsteps”. Those behavioral modeling technology can bring together all electronic records to know about the behavioral patterns of each of the employee.
We use technologies such as cookies and web beacons to collect information about the use of our websites. We collect information about the pages you view, the links you click and other actions you take on our Services, or within our advertising or email content. We also use these technologies to remember Personal Information when you use our website, online services, and applications. We use these tools to provide a continuous and more personalized experience to you.
Due to advance in technology, website are able not only to track users and their records but also to build a sequence of their online activities. (Dhillon, Mooes, 2001, Dec) In fact, most search engines such as Google and Yahoo collect information through users search to promote specific advertisement. Where other companies tracker users activities through cookies, which is stored into the user web browsers, to gather information and store them into their servers. “In July 2010, the Wall Street Journal examined the 50 most popular websites in the USA. In total, the 50 sites placed 3,180 tracking files on a test computer used to conduct the study; only the encyclopedia Wikipedia.org installed none”(Boscheck, 2011, Oct). Therefore the process doesn’t request users permission to collect information, which is considered as invasion to user
One of the most important advances in the rapidly developing world of electronic commerce is the ability of companies to develop personalized relationships with their customers. Personalization empowers companies to better understand their customers' wants and desires and improve customer service by tailoring offerings to the unique needs of individuals . At the same time, this has become a subject of hot controversy because the technology involves the extensive collection and use of personal data.