Ride-share services such as Lyft and Uber are examples of how a knowledge base is useful. Customers and employees will often need answers to questions quickly when using these applications. Information and answers to common questions must be available fast and in user-friendly formats. In the ca...
The goal of implementing a knowledge base may seem obvious: to empower your employees with the information they need to be efficient at their jobs. Contextualizing your goal gives you clear directions on how to achieve the best results. Look at what’s working for others, especially those in ...
The Docs report provides helpful metrics like how many people visit your site, which knowledge base articles get the most hits, and how customers rate the content via on-page Docs satisfaction surveys. It also displays any failed searches to identify topic gaps and help prioritize future content...
Knowledge search analytics dashboard metricsThe following are specific metrics represented in this dashboard:展開資料表 KPIs or chartDefinition Search count The total number of searches completed within a given period. Avg. search rank The average position of the link selected by a user when ...
interaction such as email and chat — this helps users find your knowledge base and the most relevant content to them within it. You’ll also get an in-depth view of powerful metrics including: engagement, sentiment, search, tickets and conversations, ticket deflection, and maintenance ...
Editor: such as BaseEditor(Factual Knowledge and Generation Editor) for LM, MultiModalEditor(MultiModal Knowledge). Method: the specific knowledge editing technique used(such as ROME, MEND, ..). Evaluate: Metrics for evaluating knowledge editing performance. Reliability, Generalization, Locality, Porta...
Choose metrics and key performance indicators (KPIs) to track over time. Examples include: Time to problem resolution Decrease in customer wait times Increase in customer satisfaction levels Decrease in internet support requests that escalate into phone calls By focusing on a few important variables, ...
J. B. H. du Boulay 102Accesses Explore all metrics Abstract We introduce the notion of metadata and the role it plays in a user's understanding of data in a database. We survey the kinds of metadata present in database schemas through an Abstract Conceptual Schema, and also the kinds of...
:small_orange_diamond: ctop - top-like interface for container metrics. :small_orange_diamond: docker-bench-security - is a script that checks for dozens of common best-practices around deploying Docker. ▪️ Web Tools :small_orange_diamond: Moby - a collaborative project for the container...
Metrics Recent works in the conventional multi-task or meta-learning-based approaches often rely on metrics based on reward and/or success rate to evaluate agent performance. However, in the context of LRL, typical questions still remain unclear, including how much the agent may forget the previo...