Patent application number | Description | Published |
20090106398 | Web Service Architecture for Dynamic Rules Table Generation - Various systems and methods for providing access to a dynamically generated rules table as a Web Service are disclosed. One method involves receiving a Web Service request from a requester and then dynamically generating a rules table, in response to receipt of the Web Service request. Dynamically generating the rules table includes accessing one or more matrices that store information associated with multiple different rules tables. For example, dynamic generation of the rules table can involve accessing a dimension matrix that stores information identifying one or more input criteria and one or more results included in the rules table, selecting information from a rules matrix based upon the criteria and results identified by the dimension matrix, and then storing the selected information from the rules matrix in the rules table. | 04-23-2009 |
20110246457 | RANKING OF SEARCH RESULTS BASED ON MICROBLOG DATA - An information retrieval system is described herein that monitors a microblog data stream that includes microblog posts to discover and index fresh resources for searching by a search engine. The information retrieval system also uses data from the microblog data stream as well as data obtained from a microblog subscription system to compute novel and effective features for ranking fresh resources which would otherwise have impoverished representations. An embodiment of the present invention advantageously enables a search engine to produce a fresher set of resources and to rank such resources for both relevancy and freshness in a more accurate manner. | 10-06-2011 |
20120042020 | MICRO-BLOG MESSAGE FILTERING - Example methods, apparatuses, or articles of manufacture are disclosed that may be implemented using one or more computing devices to provide or otherwise support micro-blog message filtering. | 02-16-2012 |
20130132401 | RELATED NEWS ARTICLES - Methods, systems, and computer programs are presented for providing internet content, such as related news articles. One method includes an operation for defining a plurality of candidates based on a seed. For each candidate, scores are calculated for relevance, novelty, connection clarity, and transition smoothness. The score for connection clarity is based on a relevance score of the intersection between the words in the seed and the words in each of the candidates. Further, the score for transition smoothness measures the interest in reading each candidate when transitioning from the seed to the candidate. For each candidate, a relatedness score is calculated based on the calculated scores for relevance, novelty, connection clarity, and transition smoothness. In addition, at least one of the candidates is selected based on their relatedness scores for presentation to the user. | 05-23-2013 |
20130179252 | METHOD OR SYSTEM FOR CONTENT RECOMMENDATIONS - Methods and systems are provided that may be utilized to recommend content to a user. | 07-11-2013 |
20140122469 | RANKING PRODUCTS USING PURCHASE DAY BASED TIME WINDOWS - Techniques are described herein for enhancing the ranking products using purchase day based time windows. A purchase day based time window is a time window that is defined to include purchase days selected from a series of consecutive days. A purchase day is a day on which a product associated with the time window is purchased. The series of consecutive days includes the purchase days intermixed with non-purchase day(s). A non-purchase day is a day on which the product associated with the time window is not purchased. The purchase day based time window is further defined to not include the non-purchase day(s). | 05-01-2014 |
20140172652 | AUTOMATED CATEGORIZATION OF PRODUCTS IN A MERCHANT CATALOG - A system and method is described for large-scale, automated classification of products. The system and method receives information about products, wherein such information includes one or more text metadata fields associated with each product, receives a set of categories, and automatically selects one or more categories from the set of categories to which each product belongs based upon at least one of the one or more text metadata fields associated with each product. A machine learning classifier may be used to automatically select the one or more categories to which each product belongs by operating upon a feature vector for each product derived from text metadata fields of the product description. The machine learning classifier may be trained using a set of pre-categorized product descriptions. The product-category associations generated by the system and method can be used to improve search engine results or product recommendations to consumers. | 06-19-2014 |
20150317317 | METHOD AND SYSTEM FOR PROVIDING QUERY SUGGESTIONS INCLUDING ENTITIES - Methods, systems and programming for providing query suggestions including entities. In one example, a prefix of a query is first received. A plurality of query suggestions are then identified based on the prefix of the query. The plurality of query suggestions include at least one entity. Scores of each of the plurality of query suggestions are computed using a first model. The first model includes an adjustable parameter used for computing the score of the at least one entity. The plurality of question suggestions are ranked based, at least in part, on the scores. | 11-05-2015 |