Sentence examples for a collaborative feature for from inspiring English sources

The phrase "a collaborative feature for" is correct and usable in written English.
It can be used when describing a function or aspect of a product or service that allows multiple users to work together or share information.
Example: "The new software update includes a collaborative feature for team projects, enabling users to edit documents simultaneously."
Alternatives: "a teamwork function for" or "a joint capability for".

Exact(1)

They are a collaborative feature for conversations where all participants want to automate minimalist data hygiene….

Similar(59)

Particularly, there is a strong interest in investigating the added value of collaborative features for enriching the development process, as well as the quality of the result.

The startup, which was founded in April last year, said it will use the capital to "structure" a marketing and sales team, as well as for product development to improve collaborative features for multiple-users organizations.

The startup, which was founded in April last year, said it will use the capital to "structure" a marketing and sales team, as well as for product development to improve collaborative features for multiple-users organizations.

The service is currently free, but will introduce collaborative features for teams (think things like integration with external services, like Github; shared task lists; automated alerting; etc.).

The new Black Ops game is set within a narrative universe between Black Ops II and Black Ops III and stresses multi-player gaming like the battle royale, improved league play and collaborative features for gamers.

The service is currently free, but will introduce collaborative features for teams (think things like integration with external services, like Github; shared task lists; automated alerting; etc).

Formative evaluation studies suggest that users want easily accessible and succinct information and collaborative features for knowledge exchange.

We propose two models for collaborative feature extraction, selection and aggregation for supervised data mining.

A feature adjustment method is proposed to solve the conflicts, an enhanced naming mechanism for the collaborative feature modeling to preserve the design intentions, and a process for the non-locked multi-client collaborative design.

This is a consequence of the collaborative feature of the algorithm.

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