| 摘要 |
Each user is represented by a mixture of topics, e.g., one or more topics, and a probability of interest in each topic in the mixture, and given the target user, one or more other users can be recommended, each user that is recommended to the target user is determined to have a topical interest similarity with the target user, e.g., the target user's interest in one or more topics of the mixtures of topics is determined to be similar to a recommended interest in the one or more topics of the mixture of topics. The target user and the one or more recommended users can be said to have similar topical interests. The target user can use the user recommendation to establish an interactive dialogue, for example, with one or more users identified in the user recommendation. |
| 主权项 |
1. A method comprising:
generating, by at least one computing device having at least one processor, a plurality of social-media message aggregates, each social-media message aggregate corresponding to a user of a plurality of users, the user's social-media message aggregate being generated from a plurality of the user's social-media messages; determining, by at least one computing device having at least one processor, a plurality of topics using the plurality of social-media message aggregates, each topic of the plurality identifying a set of words associated with the topic, each word in the set of words having an importance of the word to the topic, the importance of each word to the topic is determined using the plurality of social-media message aggregates; generating, by at least one computing device having at least one processor, a plurality of interest distributions, each interest distribution corresponds to one of the users of the plurality of users and is generated using the user's social-media message aggregate of the user's social-media messages, each user's interest distribution comprising the plurality of topics and, for each topic of the plurality of topics, information indicating the user's level of interest in the topic determined using the user's social-media message aggregate and the plurality of topics; identifying, by at least one computing device having at least one processor and for a target user, at least one other user of the plurality of users having a similar topical interest with the target user, the identifying using the interest distribution of the target user and the interest distribution of the at least one other user; and causing, by at least one computing device having at least one processor, a user recommendation to be transmitted to the target user, the user recommendation identifying the at least one other user of the plurality of users having a similar topical interest with the target user. |
