摘要:
The invention provides a method of creating contextual titles for web pages or documents. The method includes the extracting of phrases from a web page or document. The phrases are evaluated for use as contextual titles for the web page or document. The contextual title is utilized to access the web page or document by users.
摘要:
The invention provides a method of creating a personal home page containing information of interest assembled from various web sites. The method includes the partitioning of web pages into web blocks. Users may collect various web blocks from different web pages and utilize those web blocks to define the dynamic personal homepage. In addition, the web blocks may be tracked to update content in the personal home page based on corresponding changes in the original web page.
摘要:
A summary system for evaluating summaries of documents and for generating summaries of documents based on normalized probabilities of portions of the document. A summarization system generates a summary by selecting sentences for the summary based on their normalized probabilities as derived from a document model. An evaluation system evaluates the effectiveness of a summary based on a normalized probability for the summary that is derived from a document model.
摘要:
A topic identification system identifies topics of online discussions by iteratively identifying topic words or keywords of the online discussions and identifying language patterns associated with those keywords. The topic identification system starts out with an initial set of keywords and identifies language patterns that each include a keyword. The topic identification system then uses the identified language patterns to identify additional keywords of the online discussion that match the patterns. The topic identification system then again identifies language patterns using the keywords including the newly identified keywords. The topic identification system may repeat the process of identifying language patterns and keywords until a termination criterion is satisfied.
摘要:
A system for determining whether to approve a target document (e.g., advertisement) is provided. The system trains a classifier using tuples of words from appropriate documents and tuples of words from inappropriate documents. To approve a target document, the system identifies tuples of words of the target document. The system then applies the classifier to the identified tuples to classify the document as being appropriate or inappropriate. If the document is classified as appropriate, the system automatically approves the document.
摘要:
A topic identification system identifies topics of online discussions by iteratively identifying topic words or keywords of the online discussions and identifying language patterns associated with those keywords. The topic identification system starts out with an initial set of keywords and identifies language patterns that each include a keyword. The topic identification system then uses the identified language patterns to identify additional keywords of the online discussion that match the patterns. The topic identification system then again identifies language patterns using the keywords including the newly identified keywords. The topic identification system may repeat the process of identifying language patterns and keywords until a termination criterion is satisfied.
摘要:
A method and system for assessing keyword usage based on frequency of usage of the keywords during various periods is provided. A keyword usage measurement system is provided with the frequency of keywords during various periods. The measurement system then calculates a recent usage score for a keyword by combining a frequency impulse score for the keyword with a frequency weight for the keyword. The frequency impulse score for a keyword indicates whether a recent change in the frequency of the keyword has occurred. The frequency weight for a keyword indicates a recent measure of the frequency of the keyword.
摘要:
A method and system for assessing keyword usage based on frequency of usage of the keywords during various periods is provided. A keyword usage measurement system is provided with the frequency of keywords during various periods. The measurement system then calculates a recent usage score for a keyword by combining a frequency impulse score for the keyword with a frequency weight for the keyword. The frequency impulse score for a keyword indicates whether a recent change in the frequency of the keyword has occurred. The frequency weight for a keyword indicates a recent measure of the frequency of the keyword.
摘要:
A method and system for identifying information about people is provided. The information system identifies groups of people that have relationships based on their relationships to documents or more generally to objects. The information system initially is provided with an indication of which people have which relationships to which documents. The information system then identifies clusters of people based on having a relationship to the same objects. The information system may also identify clusters of related objects associated with a cluster of people. When a user wants to identify information about a person, the user can provide the name of that person to the information system. The information system then can retrieve and display the names of the other people who are in the same cluster as the person.
摘要:
A method and system for prioritizing communications based on classifications of sentences within the communications is provided. A sentence classification system may classify sentences of communications according to various classifications such as “sentence mode.” The sentence classification system trains a sentence classifier using training data and then classifies sentences using the trained sentence classifier. After the sentences of a communication are classified, a document ranking system may generate a rank for the communication based on the classifications of the sentences within the communication. The document ranking system trains a document rank classifier using training data and then calculates the rank of communications using the trained document rank classifier.