Patent application number | Description | Published |
20090281894 | Method and Apparatus for Inferring Topics for Web Pages and Web Ads for Contextual Advertising - A method and apparatus are provided for inferring topics for web pages and web ads for contextual advertising. In one example, the method includes receiving clicked ads from an ads log database, extracting ad terms from the clicked ads, calculating hidden classes for the ad terms based on an analysis of the ad terms, calculating a probability of each clicked ad appearing in each of the hidden classes, and assigning a topic to each clicked ad based on the probability of each clicked ad appearing in each of the hidden classes. | 11-12-2009 |
20110246285 | Clickable Terms for Contextual Advertising - An online advertising selects online advertisements for display on a network location taking into account a probability that a candidate online advertisement will receive a click on a particular website. The system may determine a network location identity of the network location and transform a set of advertisements into a set of ranked advertisements. The system may determine an advertisement rank of a first advertisement among the set of ranked advertisements. The system then may generate a click probability value. The click probability value may reflect a click probability of the first advertisement by dividing an exponent of a weighted sum of the network location identity and the advertisement rank by one plus the exponent of the weighted sum of the network location identity and the advertisement rank. | 10-06-2011 |
20110264513 | Finding Predictive Cross-Category Search Queries for Behavioral Targeting - A method and apparatus for finding predictive cross-category search queries for behavioral targeting in a networked online display advertising system. The methods include aggregating a training model dataset, the training model dataset comprising a history of clicks corresponding to historical advertisements. The training model dataset also contains plurality of targeting categories related to the history of clicks. Various techniques are disclosed for selecting a plurality of features from the training model dataset and calculating a click probability for a subject advertisement to be clicked by a user from a page, the calculating operations using features of the page that is to be presented to the user. Embodiments include mapping a particular query to one of the targeting categories and then presenting the subject advertisement selected on the basis of the value of the click probability. Normalization scales down the value of the click probabilities to filter out false positive categories. | 10-27-2011 |
20120047020 | Contextual advertising with user features - Disclosed are apparatus and methods for apparatus and methods for facilitating contextual selection of advertisements for displaying online via a computer network. In general, user features in the form of text are provided in conjunction with web page content for contextual advertisement matching. In one embodiment, a request for an advertisement to be displayed in a current web page that has been requested by a current user is received. The current user is associated with one or more current user characteristics from a plurality of different user characteristics, and the current web page has an associated content. A mapping model and the one or more current user characteristics are used to obtain a plurality of user-relevant terms for each of the one or more current user characteristics. A combination of the content of the current web page and obtained user-relevant terms are provided for selecting an advertisement for displaying with the current web page based on such combination. | 02-23-2012 |
20120095943 | SYSTEM FOR TRAINING CLASSIFIERS IN MULTIPLE CATEGORIES THROUGH ACTIVE LEARNING - A system for training classifiers in multiple categories through an active learning system, including a computer having a memory and a processor, the processor programmed to: train an initial set of m binary one-versus-all classifiers, one for each category in a taxonomy, on a labeled dataset of examples stored in a database coupled with the computer; uniformly sample up to a predetermined large number of examples from a second, larger dataset of unlabeled examples stored in a database coupled with the computer; order the sampled unlabeled examples in order of informativeness for each classifier; determine a minimum subset of the unlabeled examples that are most informative for a maximum number of the classifiers to form an active set for learning; and use editorially-labeled versions of the examples of the active set to re-train the classifiers, thereby improving the accuracy of at least some of the classifiers. | 04-19-2012 |
20150379414 | UTILIZING LARGE-SCALE KNOWLEDGE GRAPHS TO SUPPORT INFERENCE AT SCALE AND EXPLANATION GENERATION - Aspects discussed herein present a solution for utilizing large-scale knowledge graphs for inference at scale and generating explanations for the conclusions. In some embodiments, aspects discussed herein learn inference paths from a knowledge graph and determine a confidence score for each inference path. Aspects discussed herein may apply the inference paths to the knowledge graph to improve database lookup, keyword searches, inferences, etc. Aspects discussed herein may generate a natural language explanation for each conclusion or result from one or more inference paths that led to that conclusion or result. Aspects discussed herein may present the best conclusions or results to the user based on selection strategies. The presented results or conclusions may include generated natural language explanations rather than links to documents with word occurrences highlighted. | 12-31-2015 |
Patent application number | Description | Published |
20130281716 | METHOD OF MAKING DIACETAL COMPOUND IN AQUEOUS MEDIUM - This invention is directed to a process for preparation of acetal derivatives, 1,3:2,4-bis (3,4-dimethylbenzylidene)sorbitol (DMDBS) and 1,3:2,4-bis (4-methylbenzylidene)sorbitol (MDBS) by carrying out a dehydrocondensation reaction between an aldehyde and an alditol using an aqueous ionic fluid as the acid catalyst. | 10-24-2013 |
20130296580 | Process For Preparation Of Acetals - A process for the preparation of 1,3:2,4-bis (4-methylbenzylidene) sorbitol (MDBS) and 1,3:2,4-bis (3,4-dimethylbenzylidene) sorbitol (DMDBS) via a dehydrocondensation reaction is disclosed. The reaction is carried out between an aldehyde and an alditol in a mole ratio of 2:1 wherein ionic fluid is used as the acidic catalyst and/or reaction medium. The ionic fluid used in accordance with the present invention is quaternary ammonium salt based ionic liquid. | 11-07-2013 |
20130303787 | Process For Preparing Alditol Acetals - A process for preparing alditol Acetals via a dehydrocondensation reaction is disclosed. The reaction is carried out by adding an aldehyde and an aldiol using a metal salt based ionic liquid as an acid catalyst. The ionic liquid used in the process is prepared by dissolving a hydrogen donor and a compound providing counter ion in a solvent. | 11-14-2013 |