Abstract: Systems and methods for recommending an item from a plurality of items. The plurality of items includes chemistry-based features. The system comprises a computing device and a database. The database includes user preference data, item data, and mapping data. The system receives user input regarding user preferences, and associates user preference values with chemistry-based feature values. The system compares chemistry-based feature values for each item to the user preference values and returns items that best match. In one embodiment, the items are wines and the system uses chemistry-based features of wines such as wine volatile chemical compounds to return wine recommendations.

Abstract: Systems and methods for recommending an item from a plurality of items. The plurality of items includes chemistry-based features. The system comprises a computing device and a database. The database includes user preference data, item data, and mapping data. The system receives user input regarding user preferences, and associates user preference values with chemistry-based feature values. The system compares chemistry-based feature values for each item to the user preference values and returns items that best match. In one embodiment, the items are wines and the system uses chemistry-based features of wines such as wine volatile chemical compounds to return wine recommendations.

Abstract: Systems and methods for recommending an item from a plurality of items. The plurality of items includes chemistry-based features. The system comprises a computing device and a database. The database includes user preference data, item data, and mapping data. The system receives user input regarding user preferences, and associates user preference values with chemistry-based feature values. The system compares chemistry-based feature values for each item to the user preference values and returns items that best match. In one embodiment, the items are wines and the system uses chemistry-based features of wines such as wine volatile chemical compounds to return wine recommendations.

Abstract: Systems and methods for recommending an item from a plurality of items. The plurality of items includes chemistry-based features. The system comprises a computing device and a database. The database includes user preference data, item data, and mapping data. The system receives user input regarding user preferences, and associates user preference values with chemistry-based feature values. The system compares chemistry-based feature values for each item to the user preference values and returns items that best match. In one embodiment, the items are wines and the system uses chemistry-based features of wines such as wine volatile chemical compounds to return wine recommendations.

Abstract: Systems and methods for recommending an item from a plurality of items. The plurality of items includes chemistry-based features. The system comprises a computing device and a database. The database includes user preference data, item data, and mapping data. The system receives user input regarding user preferences, and associates user preference values with chemistry-based feature values. The system compares chemistry-based feature values for each item to the user preference values and returns items that best match. In one embodiment, the items are wines and the system uses chemistry-based features of wines such as wine volatile chemical compounds to return wine recommendations.

Abstract: A network interface and storage medium that, in an embodiment, filter packets received from a network based on rules. The filtering discards a subset of the packets based on the rules and keeps a remaining subset of the packets. The remaining subset is copied to a destination. The rules are created offline in a lower priority process from the filtering and copying by detecting whether symptoms exist in a sample of the remaining subset. In an embodiment, the order that the symptoms are detected is changed based on the frequency of the existence of the symptoms in the sample. In various embodiments, the symptoms may include receiving a threshold number of ping packets within a time period, receiving a threshold number of broadcast packets within a time period, receiving a packet with an invalid source address, and receiving a packet with an invalid header flag.

Abstract: A network interface and storage medium that, in an embodiment, filter packets received from a network based on rules. The filtering discards a subset of the packets based on the rules and keeps a remaining subset of the packets. The remaining subset is copied to a destination. The rules are created offline in a lower priority process from the filtering and copying by detecting whether symptoms exist in a sample of the remaining subset. In an embodiment, the order that the symptoms are detected is changed based on the frequency of the existence of the symptoms in the sample. In various embodiments, the symptoms may include receiving a threshold number of ping packets within a time period, receiving a threshold number of broadcast packets within a time period, receiving a packet with an invalid source address, and receiving a packet with an invalid header flag.

Abstract: A method, apparatus, system, and signal-bearing medium that, in an embodiment, filter packets received from a network based on rules. The filtering discards a subset of the packets based on the rules and keeps a remaining subset of the packets. The remaining subset is copied to a destination. The rules are created offline in a lower priority process from the filtering and copying by detecting whether symptoms exist in a sample of the remaining subset. In an embodiment, the order that the symptoms are detected is changed based on the frequency of the existence of the symptoms in the sample. In various embodiments, the symptoms may include receiving a threshold number of ping packets within a time period, receiving a threshold number of broadcast packets within a time period, receiving a packet with an invalid source address, receiving a packet with an invalid header flag, and receiving a threshold number of the packets within a time period that contain a sequence flag.

Abstract: A method, apparatus, system, and signal-bearing medium that, in an embodiment, filter packets received from a network based on rules. The filtering discards a subset of the packets based on the rules and keeps a remaining subset of the packets. The remaining subset is copied to a destination. The rules are created offline in a lower priority process from the filtering and copying by detecting whether symptoms exist in a sample of the remaining subset. In an embodiment, the order that the symptoms are detected is changed based on the frequency of the existence of the symptoms in the sample. In various embodiments, the symptoms may include receiving a threshold number of ping packets within a time period, receiving a threshold number of broadcast packets within a time period, receiving a packet with an invalid source address, receiving a packet with an invalid header flag, and receiving a threshold number of the packets within a time period that contain a sequence flag.