Patent
Recommendation system with cluster-based filtering of recommendations
TLDR
In this paper, computer-implemented processes for clustering items and improving the utility of item recommendations are disclosed. But, they do not describe how to apply these techniques to the real world.Abstract:
Computer-implemented processes are disclosed for clustering items and improving the utility of item recommendations. One process involves applying a clustering algorithm to a user's collection of items. Information about the resulting clusters is then used to select items to use as recommendation sources. Another process involves displaying the clusters of items to the user via a collection management interface that enables the user to attach cluster-level metadata, such as by rating or tagging entire clusters of items. The resulting metadata may be used to improve the recommendations generated by a recommendation engine. Another process involves forming clusters of items in which a user has indicated a lack of interest, and using these clusters to filter the output of a recommendation engine. Yet another process involves applying a clustering algorithm to the output of a recommendation engine to arrange the recommended items into cluster-based categories for presentation to the user.read more
Citations
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Patent
Recognizing cloud content
TL;DR: In this article, a designated storage location for cloud content corresponding to a service is registered locally at a device, and files stored in association with the registered storage location may be recognized as cloud content of the corresponding service.
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Recommendation System Using Social Behavior Analysis and Vocabulary Taxonomies
TL;DR: In this article, the authors proposed a system for recommending items and people of potential interest to users using word-based social behavior information, semantically-sensitive vocabulary taxonomies, and determined implied topic-specific social networks.
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System and process for improving product recommendations for use in providing personalized advertisements to retail customers
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Disambiguating Intents Within Search Engine Result Pages
Kang Li,Yi Li,Richard J. Qian +2 more
TL;DR: In this article, a user provides a search engine with one or more query terms associated with an intent, e.g., product entity, store entity, person entity, etc., and the search results are grouped based on intents associated with the query.
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User data store
TL;DR: In this paper, a memory and a processing circuit are configured to store a user data store comprising a plurality of graphs, each graph having a user identity node, and the processing circuit is configured to receive asset data representing an asset that a user has interacted with on a website; generate a first node representing the asset data and a first link coupling the first node to the user identity nodes of the graph; store the first nodes and first link as part of a graph; receive usage data representing user interaction with a website, wherein at least one of the nodes further represents opinion data for
References
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Patent
System for customized electronic identification of desirable objects
TL;DR: In this paper, the authors proposed a system that automatically constructs a target profile for each target object in the electronic media based on the frequency with which each word appears in an article relative to its overall frequency of use in all articles, as well as a 'target profile interest summary' for each user, which target profile interest summaries describes the user's interest level in various types of target objects.
Patent
Apparatus and methods for organizing and/or presenting data
TL;DR: In this article, a method of allowing navigation of a plurality of data elements residing within a category-tree database includes providing, on a single primary “web” page, a distinct data element symbol for each data element and a distinct parent category symbols for each parent category in the category paths of the data elements.
Patent
Method and apparatus for item recommendation using automated collaborative filtering
TL;DR: In this article, a method for recommending items to users using automated collaborative filtering stores profiles of users relating ratings to items in memory, the item profiles associating users with the rating given to the item by that user.
Patent
Automated content and collaboration-based system and methods for determining and providing content recommendations
TL;DR: In this paper, a content and collaborative filtering system for recommending entertainment oriented content items, such as music and video, and other media content items to a user based on similarity in profile between the user and other users and between the content indexed in the user's profile and other content in the database was proposed.
Patent
User interface and methods for recommending items to users
TL;DR: In this paper, an improved user interface and method for presenting recommendations to a user when the user adds an item to a shopping cart is presented, where a page generation process generates and returns a page that includes a recommendation portion and a condensed view of the shopping cart.