Correlated information recommendation
First Claim
1. A method for information recommendation, the method comprising:
- receiving data from a client indicating a visited information type;
obtaining a plurality of correlated information types related to the visited information type from stored records, the plurality of correlated information types providing one or more correlated information combinations each including at least two correlated information types;
for each of the one or more correlated information combinations, computing a degree of correlation between the correlated information combination and the visited information type, the computing comprising;
selecting the one or more correlated information combinations based on an application scenario of the client;
determining an occurrence property of each of the one or more correlated information combinations; and
computing the degree of correlation between each of the one or more correlated information combinations and the visited information type using the occurrence property; and
selecting from the one or more correlated information combinations a target correlated information combination whose degree of correlation satisfies a requirement, and recommending the target correlated information combination to the client.
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Accused Products
Abstract
Method and apparatus for information recommendation are provided. In one aspect, a method for information recommendation uses correlated information combinations to improve recommendation accuracy. Upon receiving data from a client indicating a visited information type, the method obtains correlated information types related to the visited information type from stored records. The correlated information types providing one or more correlated information combinations each including at least two correlated information types. For each of the one or more correlated information combinations, the method computes a degree of correlation between the correlated information combination and the visited information type. The method selects a target correlated information combination with a satisfying degree of correlation, and recommends the target correlated information combination to the client.
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Citations
16 Claims
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1. A method for information recommendation, the method comprising:
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receiving data from a client indicating a visited information type; obtaining a plurality of correlated information types related to the visited information type from stored records, the plurality of correlated information types providing one or more correlated information combinations each including at least two correlated information types; for each of the one or more correlated information combinations, computing a degree of correlation between the correlated information combination and the visited information type, the computing comprising; selecting the one or more correlated information combinations based on an application scenario of the client; determining an occurrence property of each of the one or more correlated information combinations; and computing the degree of correlation between each of the one or more correlated information combinations and the visited information type using the occurrence property; and selecting from the one or more correlated information combinations a target correlated information combination whose degree of correlation satisfies a requirement, and recommending the target correlated information combination to the client. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. An apparatus for information recommendation, the apparatus comprising:
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one or more processors; memory; a receiving unit stored in the memory and executable by the one or more processors that is configured to; obtain from stored records a plurality of correlated information types related to a visited information type indicated by a client, the plurality of correlated information types providing one or more correlated information combinations each including at least two correlated information types, and obtain user information of the client and user information of one or more other clients which have used the visited information type and obtaining one or more other information types which have been used by the one or more other clients from the stored records; a computation unit stored in the memory and executable by the one or more processors that is configured to; obtain an occurrence property of each of the one or more correlated information combinations, select the one or more correlated information combinations of at least two correlated information types based on an application scenario of the client, determine a weight coefficient for each of the one or more correlated information combinations according to the user information of the client and the user information of the one or more other clients which have used the visited information type, and compute a degree of correlation between each of the one or more correlated information combinations and the visited information type based on an occurrence property of the respective correlated information combination and the weight coefficient; and a recommendation unit stored in the memory and executable by the one or more processors that is configured to select from the one or more correlated information combinations a target correlated information combination whose degree of correlation satisfies a requirement, and recommend the target correlated information combination to the client. - View Dependent Claims (11, 12)
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13. A method comprising:
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under control of one or more processors configured with executable instructions; receiving, from a client, data indicating a visited information type, the visited information type comprising a type of information that is visited or used by a user of the client; obtaining records of one or more other clients that have visited or used the visited information type; obtaining a plurality of correlated information types that have been visited or used by the one or more other clients; selecting a plurality of combinations of correlated information from the plurality of correlated information based on an application scenario of the client, the application scenario indicating which information type of the plurality of correlated information is undesirable to the user and which information type of the plurality of correlated information is desirable to the user; computing a degree of correlation between each combination of correlated information and the visited information type; selecting, from the plurality of combinations of correlated information, one or more target combinations of correlated information having a degree of correlation that satisfies a requirement; and recommending the one or more target combinations of correlated information to the user through the client. - View Dependent Claims (14, 15, 16)
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Specification