A method of organizing information in which the search activity of a user is monitored and such activity is used to organize articles in a subsequent search. The invention operates by assigning scores to articles under key term components in an index. As users enter search queries and select articles, the scores are altered according to, among other things, the amount of time spent inspecting an article, whether the article is the last one inspected, how many articles are ranked higher than the article, how many articles have been previously inspected by the user, and whether an advertising banner was selected by the user. The scores are then used in subsequent searches to organize the articles that match a search query. As millions of people use the Internet, type in millions of search queries, and display or select the many articles available over the Internet, the present invention uses this search activity to rank information available over the Internet through an evolutionary process. The invention includes additional embodiments which incorporate category key terms and rating key terms.
RELATED APPLICATION
This patent application is a continuation-in-part of two co-pending patent applications Ser. Nos. 08/904,795 and 08/960,140, filed Aug. 1, 1997 and Oct. 29, 1997, respectively, also entitled "Method for Organizing Information."
The information filtering apparatus has a configuration having a metric dividing section which divides a matrix indicating that what items a user needed and did not need into a plurality of matrixes, and a classification information filtering unit which calculates a plurality of classification necessities and a plurality of classification reliabilities using the plurality of matrixes divided in the metric dividing section.
A method and system for presenting a group of objects in a ranking order. Objects are ranked according to user preferences by first observing the access order of a related group of objects in relation to a predetermined access hypothesis. A user preference model is then adapted to correspond to any deviations between the access order and the access hypothesis for the related group of objects. Next, object preferences are calculated for each of the objects to be ranked according to the preference model. The group of objects is then presented to the user in an order corresponding to the calculated object preferences. The preference model is adaptively updated, unbeknownst to the user, in the normal course of accessing the presented objects.
A system and method for ranking the results of a search on a collection of linked documents. Documents found on the Web are typically referred to as Web pages. The system utilizes various information relating to the collection of linked documents, including the topology, content and historical usage of the linked collections of documents. The ranking is based on historical patterns and information about the current context of interest (e.g. what the user or group seems to be currently interested in doing). A spreading activation technique is used to identify the frequency of activation of the documents in the search results. Spreading activation techniques are based on representations of Web pages as nodes in graph networks representing usage, content, and hypertext relations among Web pages. After performing the spreading activation based on an initial set defined by the search results, each document from the results may be ranked based on their level of activation.
Provided is a method and system for blending a plurality of search engine results from a respective plurality of search sources into one search engine. A result list of entries is received from each search source. Each result list includes at least, for each entry on the list, a position of the entry, an address of a document, and a relevance score of the document. A determined transformation is applied to the relevance scores of at least a subset of the documents in at least one of the received result lists so as to generate transformed scores. Finally portions of the respective results lists are combined to produce a blended search engine result comprising a blended list of entries. The ordering of the blended list of entries is based, at least in part, on the transformed scores of the documents.
Systems and methods for associating a keyword with a window are described. In one described system, a computer program, such as an indexer, captures processor, or query system, associates a keyword with a first user interface area. The query system or other computer program receives a signal that the first user interface is inactive and that a second user interface area is active and, in response, generates an implicit search query that includes the keyword associated with the first user interface area.
