We present a recommender system that models and recommends product features for a given domain. Our approach mines product descriptions from publicly ...

A recommender system that models and recommends product features for a given domain that supports the relatively labor-intensive task of domain analysis, ...

We present a recommender system that models and recom- mends product features for a given domain. Our approach mines product descriptions from publicly ...

Oct 22, 2024 · We present a recommender system that models and recommends product features for a given domain. Our approach mines product descriptions from ...

We present a recommender system that models and recommends product features for a given domain. Our approach mines product descriptions from publicly available ...

This run-time information may be combined with recommendations obtained by mining product descriptions [22] , and we believe that PCMs form a suited formalism ...

Bibliographic details on On-demand feature recommendations derived from mining public product descriptions.

On-demand feature recommendations derived from mining public product descriptions. ICSE, 2011. ICSE 2011 · DBLP · Scholar · DOI. Full names. Links ISxN.

Typical recommendations derived by CBF recommenders are of the form item ... On-demand feature recommendations derived from mining public product descriptions.

A novel feature recommender system is presented to support the domain analysis process for reducing the human effort. The approach in this relies on data mining ...