| 摘要 |
Network system provides a real-time adaptive recommendation set of documents with a high statistical measure of relevancy to the requestor device. The recommendation set is optimized based on analyzing text of documents of the interest set, categorizing these documents into clusters, extracting keywords representing the themes or concepts of documents in the clusters, and filtering a population of eligible documents accessible to the system utilizing site and or Internet-wide search engines. The system is either automatically or manually invoked and it develops and presents the recommendation set in real-time. The recommendation set may be presented as a greeting, notification, alert, HTML fragment, fax, voicemail, or automatic classification or routing of customer e-mail, personal e-mail, job postings, and offers for sale or exchange. |
| 主权项 |
1. A method for adaptive information recommendation, the method comprising:
storing user-specific information in memory, the user-specific information concerning interactions with a plurality of documents; and executing instructions stored in memory, wherein execution of the instructions by a processor:
clusters an interest set of documents corresponding to the user-specific information concerning interactions with the plurality of documents,constructs a recommended set of documents for the cluster based on a relevance score of each document in the cluster, wherein the relevance score is based on relevance to keyword or natural language input and user-defined limit on document age, andprovides the recommended set of documents for further interaction. |
