30 results about "Referral service" patented technology

A media item recommendation rating system and method are provided. A recommendation rating for media items is established and dynamically updated in response to media items being recommended to other users. A recommendation server or other device receives a report of a media item recommendation and updates a recommendation rating in response. The recommendation rating may also be updated based on how often a recommended media item is used or played. Thus, a media item's recommendation rating is affected by events relating to its recommendation, as opposed simple play-based ratings that are updated on any play action regardless of whether related to a recommendation or not. Simple play-based ratings do not distinguish between ordinary usages or plays and those resulting from recommendations.

A service recommendation system and a service recommendation method capable of improving the probability of the estimation of a user task and recommending a service depending on a user task can be provided. The user role obtaining unit 210 of the service recommendation server 100 obtains the role of a user, and the task estimating unit 207 estimates a user task from a task model associated with the obtained user role and stored in the task knowledge DB 103. The service knowledge retrieving unit 208 retrieves a service capable of assisting a user task obtained from the task estimating unit 207.

Systems, methods, and computer products for providing referrals are disclosed. A user accesses a referral service website or application and creates a user account. The user is verified to provide referrals. The verification is sent to a communications unit, which sends a message to the user requesting the user complete a single step to provide a new referral for a business for a category of goodsor services wherein the single step comprises providing a response selected from not more than two available response options. The user account is updated to include the new referral.

A system and method for providing a user-customized recommended word or words is provided, in which a recommended service log stored in a user terminal is classified according to at least one index, the indexed recommended service log is respectively stored for each index, and the user-customized recommended word or words are extracted in association with a user input query being inputted to a web browser of the user.

The invention discloses a personalized active news recommending service system for a mobile phone user, which comprises an interest acquisition module, a position acquisition module, an interest model updating module and an active recommending service processing module, wherein the interest acquisition module is used for determining the preference of the user to the news; the position acquisition module is used for determining the current location of the user according to positioned information of the mobile terminal of the user; the interest model updating module is used for updating the current news preference of the user; and the active recommending service processing module is used for recommending news for the user according to set algorithm. The invention also discloses a personalized active news recommending service method for the mobile phone user. According to the invention, news information which is more suitable for the needs of the user can be recommended to the user, so that a personalized news recommending service is truly realized, and the user can obtain the news contents in which the user is most interested without turning web pages frequently.

The invention is applicable to the field of medical data processing, and provides a method and system for providing data support for two-way referral of medical institutions. The present invention integrates the hospital outpatient data and the social health center data by acquiring the hospital outpatient data and the social health center data, saves the integrated data in the form of files in the distributed file system HDFS, and uses Hive to process the data. Load according to the classification of business topics, calculate and analyze the factors affecting the two-way referral business through the subject classification data, establish a two-way referral cross-analysis model according to the factors, and obtain a reasonable basis for two-way referral by adjusting the factor value or proportion analysis, as The two-way referral of hospitals and social health provides decision-making information support, which is convenient for hospitals and social health to make referral decisions, so as to make rational use of hospital and social health resources and reduce the burden on patients.

The invention discloses a recommending method, a recommending system and a recommending server of a recommended item. When a recommending incident triggered by operation of a current user is confirmed, based on a recommending strategy of the current user on a to-be-recommended item and a receiving strategy of all target users in a friend list of the current user on the to-be-recommended item, a candidate target user list is generated. When the target user list which is confirmed and fed back by the current user based on the candidate target user list is received, the current to-be-recommended item is recommended to all the target users in the target user list. Regarding to the current user who sends the recommended item, recommendation of the recommended item to target users who are not likely to receive the item is reduced, recommending resources are saved, recommending flexibility of the current user is increased based on improvement of the success rate in reception of an item. Regarding to the target users who receive recommendation, items that are not attractive are prevented from being received, recommending resources are saved and the reception rate of the current to-be-recommended item is improved.