PersonalWeb uses its technology to develop software products, systems and services for the content distribution and consumer markets.
PersonalWeb’s first product “StudyPods…where social meets study®”, is a social learning platform that enables students to connect, collaborate and share academic knowledge with each other at their own university or colleges worldwide. Our mission is to improve the student’s college experience through social learning, help them achieve better grades, and attain success in their learning. By empowering students to help each other learn, we can fundamentally transform higher education.
StudyPods is built on Natural Language Processing (NLP) technology originating in Israel where the research team led by Prof. Ronen Feldman built their initial product over a period of 3 years. Dr. Feldman received his B.Sc. in Mathematics, Physics and Computer Science from the Hebrew University and his Ph.D. in Computer Science from Cornell University. PersonalWeb furthers these developments from its headquarters in Tyler and looks to collaborate with the University of Texas at Tyler on future innovations and product extensions using its NLP technology.
NLP ontology's are resolved when people share an organized knowledge structure resembling a pattern founded on their natural orientation. StudyPods is prefaced on experts who provide diverse information hierarchies for any given topic so that people with common interests and orientations gather around their preferred expert ontology because information in the topic is organized in a manner to which their minds can relate.
To sum it up, we are trying to make college a little bit easier and a lot more fun.
CollegeSmarts™ started out as a social media blog providing tips to students while promoting PersonalWeb’s StudyPods™ social learning platform. However, as the months rolled by, CollegeSmarts began taking a life of its own and has built up a collaborative community of nearly 20,000 students and former students that continues to grow daily.
As CollegeSmarts popularity grows with students asking questions, looking for advice and seeking tips and tricks on how to cope with college life, we’ve decided to expand it utilizing PersonalWeb’s technology assets. Today, CollegeSmarts is a stand-alone website and mobile app that enables crowd-sourced answers. Our philosophy is that college students and recent grads are the best to give other college students meaningful advice to help them survive and thrive during their college years based on real-life experiences.
Natural Language Processing
The Company owns existing IP and software assets that utilize Natural Language Processing and semantic technology. It’s technology facilitates the delivery of relevant content using natural language and semantic analysis to evaluate and make information available.
Personal Web has, and is further developing, a proprietary and highly parallel process called Universal Language Classification™ (ULC) that serves as the centerpiece of its Enterprise Natural Language Processing services. Using PersonalWeb's ULC engine, businesses are able to perform complex text, document, and corpora classification analytics. This includes the extraction and classification of data from most common data sources such as documents, spreadsheets, databases, presentations, and emails.
Businesses are able to use ULC to speedily classify structured or unstructured target populations of data. Once any collection of data has been classified, the ULC engine can quickly and accurately score and classify new data against any number of classification categories. ULC helps businesses identify the invisible relationships driving the bottom line!
PersonalWeb owns several base level patents that are fundamental for many elements of cloud computing, many distributed search engine file systems, various content addressable storage and social networks. PersonalWeb is actively involved in discovering technologies and licensing its patents in specific fields, in particular PersonalWeb’s patents have claims addressing the identification of data in distributed networks using an identifier based on the contents of the data.
Click here for inquiries regarding the licensing of PersonalWeb’s technology.
U.S. patents 5978791, 6415280, 6928442, 7802310, 7945539, 7945544, 7949662, 8,001,096, 8,099,420; Japanese Patent No. 3865775
In addition, PersonalWeb has several pending patent applications in the US and Europe that will become available for licensing in specific fields of use when they issue.