Amazon Technologies, Inc.

Zymogenetics, Inc.

Randal Henne

Wenfeng Xu

Jane A Gross

Jeffrey Alan Holden

Francis J Grant

Eric R Vadon

Scott R Presnell

Aaron Michael Donsbach

Julia E Novak

Brent Russell Smith

Dennis Lee

Yue Yao

Jeffrey T Brownell

Ronald M Whitman

Catherine E Lofton-Day

John D Rodgers

Dwayne S Benefield

David Hsu

An electronic catalog system monitors browsing actions of users to generate user activity data. A data mining component analyzes the user activity data to generate conditional probability data that is presented to users contextually to assist users in selecting items from the electronic catalog. The conditional probability data reflects the frequencies with which users that have performed specific actions, such as viewing a particular item, set of items or web page, or conducting a specific search, have thereafter acquired specific items from the catalog. For example, in one embodiment, when a user selects a first item for viewing in the catalog, the user is notified, for at least one second item, of a frequency with which users who have viewed the first item and then made a purchase have acquired the second item.

Generation and contextual presentation of statistical data reflective of user selections from an electronic catalog

A data mining component collectively analyzes item acquisition histories of users of an electronic catalog of items to identify pairs of items that tend to be acquired sequentially. For each such item pair, the data mining component may also determine whether user acquisitions of the two items tend to be spaced apart in time by a characterizing time interval. In addition, the data mining component may calculate one or more conditional probability values reflective of the frequency with which users who acquire the first item in the pair acquire the second item after waiting for a particular interval of time. The item relationship data extracted by the data mining component may be displayed in the electronic catalog in association with corresponding catalog items to assist users in selecting items to acquire, and/or may be used to generate personalized item recommendations.

Data mining of user activity data to identify sequential item acquisition patterns

A method and system for producing an item comparison may initially include obtaining data based on user activity that is indicative of an item and other items likely to be comparable to the item, and recording the data for later access. An item comparison may thereafter present an item of interest to the user along with other items identified based on the recorded data. Prior to producing the item comparison, the user may be provided at least one list of potentially comparable items that can be selected for the item comparison, the list including items in the recorded data that are likely to be comparable to the item of interest. The recorded data may be specific to the user or may include data obtained from other users. Data reflecting user activity with an item comparison may be recorded as additional data indicative of comparable items.

Method and system for producing item comparisons

Tumor necrosis factors and their receptors have proven usefulness in both basic research and as therapeutics. The present invention provides a new human tumor necrosis factor receptor designated as 'Ztnfr12.'

Human tumor necrosis factor receptor polynucleotides

Human tumor necrosis factor receptor

A computer-implemented process identifies useful alternative spellings of search strings submitted to a search engine. The process takes into consideration spelling changes made by users, as detected by programmatically analyzing search string submissions of a population of search engine users. In one embodiment, an assessment of whether a second search string represents a useful alternative spelling of a first search string takes into consideration (1) an edit distance between the first and second search strings, and (2) a likelihood that a user who submits the first search string will thereafter submit the second search string, as determined by monitoring and analyzing actions of users.

Identifying alternative spellings of search strings by analyzing self-corrective searching behaviors of users

Novel secreted and membrane bound tumor necrosis factor receptor (TNFR) polypeptides, polynucleotides encoding the polypeptides, antibodies and related compositions and methods are disclosed. The polypeptides may be used for detecting ligands, agonists and antagonists. The polypeptides, polynucleotides and antibodies may also be used in methods that modulate inflammation, tumor growth and metastasis, infection, immunity, and cellular maturation.

UMLR polypeptides

Growing community of inventors

Seattle, WA, United States of America

Randal Henne