Rovi Guides, Inc.

Veveo, Inc.

Adeia Guides Inc.

Rovi Product Corporation

Vineet Agarwal

Sashikumar Venkataraman

Abhijit Satchidanand Savarkar

Murali Aravamudan

Rakesh Barve

Ganesh Ramamoorthy

Abubakkar Siddiq

Pankaj Garg

Daren Gill

Keyur Faldu

Apurv Anand

K China Srinivasulu Reddy

Ahmed Nizam Mohaideen Pathurudeen

Ajay Kumar Gupta

Sankar Ardhanari

Shakir Sharfraz Ashfaq Ahamed

Ahmed Nizam Mohaideen P

Keyur Vallabhbhai Faldu

The present disclosure provides user-interface methods and systems for submitting search requests to search engines and presenting search results therefrom customized using content preferences learned about a user, comprising sending query information to at least two search engines, including a query identifying desired content, and user information, including context information describing the environment in which the query information is being sent, and a user signature representing content preferences learned about the user; receiving at least one set of a search result and auxiliary information from the at least one search engine in response to sending the query information, including information describing attributes of the search result that led to the search result being chosen by the at least one search engine; ordering the at least one search result based at least in part on the auxiliary information; and presenting the ordered search results to the user.

Method of and system for conducting personalized federated search and presentation of results therefrom

A method of disambiguating user intent in conversational interactions for information retrieval is disclosed. The method includes providing access to a set of content items with metadata describing the content items and providing access to structural knowledge showing semantic relationships and links among the content items. The method further includes providing a user preference signature, receiving a first input from the user that is intended by the user to identify at least one desired content item, and determining an ambiguity index of the first input. If the ambiguity index is high, the method determines a query input based on the first input and at least one of the structural knowledge, the user preference signature, a location of the user, and the time of the first input and selects a content item based on comparing the query input and the metadata associated with the content item.

Methods and systems for supplementing media assets during fast-access playback operations

Systems and methods are described herein for updating links between keywords associated with a trending topic. Control circuitry may identify a plurality of communications associated with a plurality of users, the plurality of communications being related to a topic. The communications may comprise, for example, emails, text messages, online social media posts, websites or portions of a website, or any other online communication. The control circuitry may determine whether the topic is trending and increase a strength of association between a first symbol associated with the topic and a second symbol associated with the topic such that when a search query is received that includes the first symbol, search results related to the second symbol have a higher probability of being returned.

Systems and methods for updating links between keywords associated with a trending topic

Systems and methods are provided herein for providing recommendations to a user. A short-media viewing profile may be maintained for the user. The short-media viewing profile may be based on user's behavior while watching short-length media content. A long-media viewing profile may be maintained for the user. The long-media viewing profile may be based on user's behavior while watching long-length media content. In response to determining that the user is currently engaged in viewing short-length media content, a recommendation is provided to the user based on the short-media viewing profile. In response to determining that the user is currently engaged in viewing long-length media content, a recommendation is provided to the user based on the long-media viewing profile.

Systems and methods for providing recommendations based on short-media viewing profile and long-media viewing profile

Systems and methods are provided herein for recommending a pause position during a binge-watching session. A series containing multiple sequential episodes is provided to a user device. Then it is determined whether the user is engaged in binge-watching the series. If the user is binge-watching the series, a binge compulsion score is determined for each episode of the plurality of sequential episodes, where the binge compulsion score is based on how many additional sequential episodes an average user has watched after watching that episode. Then, in response to determining that the binge compulsion score of the next episode corresponds to a threshold, a prompt is generated for display, where the prompt includes a recommendation to the user to pause the series before the next episode begins.

Systems and methods for providing binge-watching pause position recommendations

Systems and methods are disclosed herein for modifying the spelling of a list of names based on a score associated with a first name. The systems and methods may receive a media asset, determine a first source of data corresponding to the media asset, and receive, from the first source of data, a list of names, each name in the list of names being associated with a respective copy of the media asset. The systems and methods may generate a reduced list of names, retrieve a criterion from storage, determine a set of scores corresponding to each name from the reduced list of names based on the criterion, select a first name from the reduced list of names based on the set of scores, and modify the spelling of a second name in the list of names based on the first name.

Systems and methods for modifying spelling of a list of names based on a score associated with a first name

Disambiguating user intent in conversational interaction system for large corpus information retrieval

Systems and methods are provided herein for flexibly using trending topics as parameters for recommending media assets that are related to a viewed media asset. A media guidance application may determine that a user has viewed a media asset. The media guidance may identify a plurality of attributes corresponding to the viewed media asset and determine that a respective attribute of the plurality of attributes matches a trending topic. The media guidance application may update a set of weightings corresponding to the plurality of attributes by increasing a weighting corresponding to the respective attribute and adjust a recommendation for a media asset different from the viewed media asset based on the updated set of weightings. The media guidance application may generate for display the recommendation of the media asset different from the viewed media asset.

Systems and methods for flexibly using trending topics as parameters for recommending media assets that are related to a viewed media asset

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Andover, MA, United States of America

Vineet Agarwal