| 摘要 |
<p>A method for generating grocery recommendations (302, 308) through semantic matching and machine learning in a collaborative media environment. An executing electronic arrangement (104, 110, 10a) for producing foodstuff recommendations and thus facilitating shopping in grocery stores and the like, may comprise semantic context management entity (118, 203) configured to maintain semantic context-defining user information relative to a plurality of users, wherein said user information indicates user preferences relative to groceries based on obtained explicit or implicit preference in- formation,a base item recommendation entity (120, 204-214) con- figured to determine, for a first user, a plurality of more generic grocery recommendations (302, 302a) based on the semantic context of the first user and the semantic contexts of a number, preferably a plurality, of other users considered as neighbors to the first user according to predetermined similarity criteria, and a product recommendation entity (122, 217, 218) configured to derive, for the first user, a shopping list (219, 308) incorporating a plurality of recommended products (306a) relative to a predetermined, optionally user-selected, store (105) offering such products, the recommended products representing more specific instances of the determined more generic grocery recommendations and being derived utilizing knowledge of the store's product range or current stock (216, 304) as well as of the semantic context of the first user and preferably of said 2 plurality of neighboring other users.</p> |
