Iac Search and Media, Inc.

Ask Jeeves, Inc.

Tao Yang

Wei Wang

Apostolos Gerasoulis

Antonio Savona

Antonino Gulli'

Lei Ding

Luigi Carnevale

Orhan Camoglu

Lingkun Chu

Jingheo Miao

Jingyu Zhou

Xin Liu

Divyakant Agrawal

Beitao Li

Ankur Choksi

Wahid Chrabakh

Neeraj Bhatnagar

Filippo Tanganelli

Preferred embodiments of the invention include systems and methods for selecting content from a plurality of channels in response to a received query are described. The invention embodiments include systems and methods that optimize content selection based on received queries and an identification of the user together with analysis of historical data. Embodiments of the invention also include methods for storing historical data including a plurality of queries and user data from a plurality of user databases, analyzing the stored historical data to classify the relevancy of a channel to each of the plurality of queries and user data, storing the classification, and displaying content to user based on such factors as user habits, queries, timing of searches, and content preferences.

Adaptive multi-channel content selection with behavior-aware query analysis

Systems and methods for aggregating search results are disclosed herein. The systems and methods include receiving a user search query, analyzing the user search query to identify a plurality of properties of the user search query, identifying a plurality of search results that match the user search query, each search result being based on a different scheme, and aggregating the search results to produce a search results list. The search results list may be a combined and selected results list. Feedback-based optimization is also disclosed.

Systems and methods for aggregating search results

Topology-centric resource management for large scale service clusters is described herein. According to certain embodiments of the invention, techniques include 1) creating optimized topology with network switches to connect service modules based on application flows and bandwidth requirements, 2) providing centralized or decentralized monitoring schemes to maintain the topology view of a service cluster, and 3) using the topology information for optimizing load balancing and service information dissemination. Other methods and apparatuses are also described.

Topology-centric resource management for large scale service clusters

A system and method for determining if a set of images in a large collection of images are near duplicates allows for improved management and retrieval of images. Images are processed, image signatures are generated for each image in the set of images, and the generated image signatures are compared. Detecting similarity between images can be used to cluster and rank images.

Similarity detection and clustering of images

Techniques to retrieve, rank and display data objects retrieved form a database are described. In particular, methods to assign a global ranking value to a data object based on a combination of that object's link-based (e.g., vector-space cluster analysis) and text-based (e.g., word frequency) ranks are described. Additional techniques to determine a set of concepts, topics or key words associated with each retrieved data objects are described.

Relevancy-based database retrieval and display techniques

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Santa Barbara, CA, United States of America

Tao Yang