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Estimating a User's Current Expertise Level

IP.com Disclosure Number: IPCOM000247063D
Publication Date: 2016-Jul-31
Document File: 2 page(s) / 136K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method and system to determine a user's current level of domain expertise. The approach is to record the amount of time a user accesses expert content, compare it to the access trend of the crowd of experts, and then determine the individual’s current expertise level.

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Estimating a User's Current Expertise Level

To keep pace with rapid technological advancements, people need to keep learning. Throughout a lifetime, a person becomes an expert in different areas, depending on

work experience and personal interests. As people attempt to learn about new

technologies, it is often necessary to locate others with expertise in specific domains and receive consultation.

An efficient method is needed to identify the right experts in specific knowledge

domains.

The novel contribution is a method and system to determine a user's current level of expertise. The approach is to record the amount of time a user accesses expert content, compare it to the access trend of the crowd of experts, and then determine the individual's current expertise level. The system monitors the delta between the user access time stamp and the general access time stamp to determine whether the user still has more expertise than the general crowd does.

At a high level, the system:

1. Observes the user's behavior in terms of accessing different media (e.g., activity streams, documents, emails, ST chat, general Q&A search, etc.) for related domain knowledge

2. Observes how the general crowds access the same type of domain knowledge 3. Stores the access rate and time stamp of the user and the general crowd accessing these data 4. Analyzes whether there is a delta between the user rate and the general crowd's rate 5. Concludes the user is still at an advanced expert level for this domain knowledge if the user's:

A. Access rate is still more frequent

B. Access time is still more recent

The detailed implementation steps include a Data Collection Stage and a Data Analysis Stage.

Data Collection Stage

The system:

1. Monitors the time stamp at which the user has accessed different artifacts. The artifacts referred be but are not limited to:

A. Tags of documents, folders and web pages


B. Accessing a web page

C. Accessing a document

D. Mentioning certain topics in emails

    E. Mentioning certain topics in the instant messaging chat 2. Identifies other users having a similar demographic backgr...