Patents by Inventor Anlei Dong
Anlei Dong has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11930113Abstract: Provided in the embodiments of the present application is a blockchain hybrid consensus-based system for maintaining domain name information. A gTLD blockchain is formed by first network nodes where international generic top-level domain registries are located, and a ccTLD blockchain is formed by second network nodes where various countries codes top-level domain registries are located. In each blockchain, various network nodes of the blockchain participate in the domain name information update process, so that the domain name information update process will not be affected by a mistake or an attack on one network node. Compared to centralized maintenance methods, this decentralized maintenance method is more secure and is beneficial to maintaining the stability of the system.Type: GrantFiled: February 28, 2019Date of Patent: March 12, 2024Assignee: CHINA INTERNET NETWORK INFORMATION CENTERInventors: Yu Zeng, Hongtao Li, Anlei Hu, Zhiwei Yan, Kejun Dong, Douxuan Nan
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Publication number: 20230069847Abstract: Methods, systems and programming for providing query suggestions based on user feedback. In one example, a prefix of a query is first received. An input including a prefix of a query is received from a user in a search session. A plurality of query suggestions are fetched based on the prefix of the query. Rankings of the plurality of query suggestions are determined based, at least in part, on the user's previous interactions in the search session with respect to at least one of the plurality of query suggestions. The at least one of the plurality of query suggestions has been previously provided to the user in the search session. The plurality of query suggestions are provided in the search session based on their rankings as a response to the input.Type: ApplicationFiled: November 15, 2022Publication date: March 9, 2023Inventors: Amit Goyal, Lizi Zhang, Weize Kong, Hongbo Deng, Anlei Dong, Yi Chang
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Patent number: 11507624Abstract: Methods, systems and programming for providing query suggestions based on user feedback. In one example, a prefix of a query is first received. An input including a prefix of a query is received from a user in a search session. A plurality of query suggestions are fetched based on the prefix of the query. Rankings of the plurality of query suggestions are determined based, at least in part, on the user's previous interactions in the search session with respect to at least one of the plurality of query suggestions. The at least one of the plurality of query suggestions has been previously provided to the user in the search session. The plurality of query suggestions are provided in the search session based on their rankings as a response to the input.Type: GrantFiled: November 18, 2014Date of Patent: November 22, 2022Assignee: YAHOO ASSETS LLCInventors: Amit Goyal, Lizi Zhang, Weize Kong, Hongbo Deng, Anlei Dong, Yi Chang
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Patent number: 10528907Abstract: A system and method is described for large-scale, automated classification of products. The system and method receives information about products, wherein such information includes one or more text metadata fields associated with each product, receives a set of categories, and automatically selects one or more categories from the set of categories to which each product belongs based upon at least one of the one or more text metadata fields associated with each product. A machine learning classifier may be used to automatically select the one or more categories to which each product belongs by operating upon a feature vector for each product derived from text metadata fields of the product description. The machine learning classifier may be trained using a set of pre-categorized product descriptions. The product-category associations generated by the system and method can be used to improve search engine results or product recommendations to consumers.Type: GrantFiled: December 19, 2012Date of Patent: January 7, 2020Assignee: Oath Inc.Inventors: Nageswara R. Pobbathi, Anlei Dong, Yi Chang
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Publication number: 20180225384Abstract: Methods, systems and programming for providing query suggestions based on user's previous search query. In one example, an input including a prefix of a first query is received from a user in a user session. At least a second query that was previously received from the user in the user session is then obtained. A third query is obtained based on the second query and the prefix of the first query. One or more query suggestions are provided to the user as a response to the input. The one or more query suggestions include the third query.Type: ApplicationFiled: April 9, 2018Publication date: August 9, 2018Inventors: Shenhong Zhu, Anlei Dong, Kazuhiro Nakao, Hongbo Deng, Hui Wu
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Patent number: 9971837Abstract: Methods, systems and programming for providing query suggestions based on user's previous search query. In one example, an input including a prefix of a first query is received from a user in a user session. At least a second query that was previously received from the user in the user session is then obtained. A third query is obtained based on the second query and the prefix of the first query. One or more query suggestions are provided to the user as a response to the input. The one or more query suggestions include the third query.Type: GrantFiled: December 16, 2013Date of Patent: May 15, 2018Assignee: EXCALIBUR IP, LLCInventors: Shenhong Zhu, Anlei Dong, Kazuhiro Nakao, Hongbo Deng, Hui Wu
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Patent number: 9836554Abstract: Methods, systems and programming for providing query suggestions including entities. In one example, a prefix of a query is first received. A plurality of query suggestions are then identified based on the prefix of the query. The plurality of query suggestions include at least one entity. Scores of each of the plurality of query suggestions are computed using a first model. The first model includes an adjustable parameter used for computing the score of the at least one entity. The plurality of question suggestions are ranked based, at least in part, on the scores.Type: GrantFiled: April 30, 2014Date of Patent: December 5, 2017Assignee: EXCALIBUR IP, LLCInventors: Hongbo Deng, Anlei Dong, Shenhong Zhu, Jiuhe Gan, Sudarshan Lamkhede, Yi Chang
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Patent number: 9600600Abstract: Methods, systems and programming for evaluating query suggestions quality. In one example, a plurality of query suggestions are provided in a ranking to a user. A user activity with respect to one of the plurality of query suggestions is detected. A position of the one of the plurality of query suggestions in the ranking is determined. A quality measure of the plurality of query suggestions is calculated based, at least in part, on the user activity and the position of the one of the plurality of query suggestions.Type: GrantFiled: April 30, 2014Date of Patent: March 21, 2017Assignee: EXCALIBUR IP, LLCInventors: Alyssa Glass, Anlei Dong, Ted Eiche
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Publication number: 20160140125Abstract: Methods, systems and programming for providing query suggestions based on user feedback. In one example, a prefix of a query is first received. An input including a prefix of a query is received from a user in a search session. A plurality of query suggestions are fetched based on the prefix of the query. Rankings of the plurality of query suggestions are determined based, at least in part, on the user's previous interactions in the search session with respect to at least one of the plurality of query suggestions. The at least one of the plurality of query suggestions has been previously provided to the user in the search session. The plurality of query suggestions are provided in the search session based on their rankings as a response to the input.Type: ApplicationFiled: November 18, 2014Publication date: May 19, 2016Inventors: Amit Goyal, Lizi Zhang, Weize Kong, Hongbo Deng, Anlei Dong, Yi Chang
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Patent number: 9268859Abstract: Method, apparatus, and programs for customizing a web site are provided. In one example, a method for customizing a web site is provided. One or more representations corresponding to one or more customizable components of a web site are provided. The one or more representations are to be displayed on a display screen to a user. An input entered by the user and directed to a specific customizable component of the web site is received. How to customize the specific customizable component of the web site is determined based on the input. An instruction is generated with respect to the customizable component. The instruction is used to implement customization of the specific customizable component of the web site in accordance with the input from the user.Type: GrantFiled: October 9, 2012Date of Patent: February 23, 2016Assignee: YAHOO! INC.Inventors: Nageswara Pobbathi, Yi Chang, Anlei Dong, Bo Long, Vignesh Murugesan, Chi-Chung Chan
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Publication number: 20160041983Abstract: One or more suggested search query completion alternatives are provided to the user and are selectable by the user in completing the user's search query. The suggested search query completion alternatives may comprise local business query completion suggestions, each of which may correspond to a local business, and general query completion suggestions, each of which may correspond to a general query. A ranking of local business query completion suggestions and general query completion suggestions may be used to identify a number of top-ranked query completion suggestions for presentation to the user. The ranking may use a popularity measure associated with each business and a frequency measure associated with each general query. A popularity associated with a local business may be weighted using a granularity weighting, which may be determined using a local query intent confidence level.Type: ApplicationFiled: August 7, 2014Publication date: February 11, 2016Inventors: Hongbo Deng, Anlei Dong, Shenhong Zhu, Jiuhe Gan, Yi Chang
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Publication number: 20150317317Abstract: Methods, systems and programming for providing query suggestions including entities. In one example, a prefix of a query is first received. A plurality of query suggestions are then identified based on the prefix of the query. The plurality of query suggestions include at least one entity. Scores of each of the plurality of query suggestions are computed using a first model. The first model includes an adjustable parameter used for computing the score of the at least one entity. The plurality of question suggestions are ranked based, at least in part, on the scores.Type: ApplicationFiled: April 30, 2014Publication date: November 5, 2015Applicant: Yahoo! Inc.Inventors: Hongbo Deng, Anlei Dong, Shenhong Zhu, Jiuhe Gan, Sudarshan Lamkhede, Yi Chang
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Publication number: 20150317310Abstract: Methods, systems and programming for evaluating query suggestions quality. In one example, a plurality of query suggestions are provided in a ranking to a user. A user activity with respect to one of the plurality of query suggestions is detected. A position of the one of the plurality of query suggestions in the ranking is determined. A quality measure of the plurality of query suggestions is calculated based, at least in part, on the user activity and the position of the one of the plurality of query suggestions.Type: ApplicationFiled: April 30, 2014Publication date: November 5, 2015Applicant: Yahoo! Inc.Inventors: Alyssa Glass, Anlei Dong, Ted Eiche
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Publication number: 20150169606Abstract: Methods, systems and programming for providing query suggestions based on user's previous search query. In one example, an input including a prefix of a first query is received from a user in a user session. At least a second query that was previously received from the user in the user session is then obtained. A third query is obtained based on the second query and the prefix of the first query. One or more query suggestions are provided to the user as a response to the input. The one or more query suggestions include the third query.Type: ApplicationFiled: December 16, 2013Publication date: June 18, 2015Applicant: Yahoo! Inc.Inventors: Shenhong Zhu, Anlei Dong, Kazuhiro Nakao, Hongbo Deng, Hui Wu
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Patent number: 8886641Abstract: In one embodiment, access a set of recency ranking data comprising one or more recency search queries and one or more recency search results, each of the recency search queries being recency-sensitive with respect to a particular time period and being associated with a query timestamp representing the time at which the recency search query is received at a search engine, each of the recency search results being generated by the search engine for one of the recency search queries and comprising one or more recency network resources. Construct a plurality of recency features from the set of recency ranking data. Train a first ranking model via machine learning using at least the recency features.Type: GrantFiled: October 15, 2009Date of Patent: November 11, 2014Assignee: Yahoo! Inc.Inventors: Anlei Dong, Yi Chang, Ruiqiang Zhang, Zhaohui Zheng, Gilad Avraham Mishne, Jing Bai, Karolina Barbara Buchner, Ciya Liao, Shihao Ji, Gilbert Leung, Georges-Eric Albert Marie Robert Dupret, Ling Liu
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Patent number: 8880518Abstract: Techniques are described herein for enhancing the ranking products using purchase day based time windows. A purchase day based time window is a time window that is defined to include purchase days selected from a series of consecutive days. A purchase day is a day on which a product associated with the time window is purchased. The series of consecutive days includes the purchase days intermixed with non-purchase day(s). A non-purchase day is a day on which the product associated with the time window is not purchased. The purchase day based time window is further defined to not include the non-purchase day(s).Type: GrantFiled: October 26, 2012Date of Patent: November 4, 2014Assignee: Yahoo! Inc.Inventors: Yi Chang, Anlei Dong
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Publication number: 20140172652Abstract: A system and method is described for large-scale, automated classification of products. The system and method receives information about products, wherein such information includes one or more text metadata fields associated with each product, receives a set of categories, and automatically selects one or more categories from the set of categories to which each product belongs based upon at least one of the one or more text metadata fields associated with each product. A machine learning classifier may be used to automatically select the one or more categories to which each product belongs by operating upon a feature vector for each product derived from text metadata fields of the product description. The machine learning classifier may be trained using a set of pre-categorized product descriptions. The product-category associations generated by the system and method can be used to improve search engine results or product recommendations to consumers.Type: ApplicationFiled: December 19, 2012Publication date: June 19, 2014Applicant: YAHOO! INC.Inventors: Nageswara R. Pobbathi, Anlei Dong, Yi Chang
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Patent number: 8751511Abstract: An information retrieval system is described herein that monitors a microblog data stream that includes microblog posts to discover and index fresh resources for searching by a search engine. The information retrieval system also uses data from the microblog data stream as well as data obtained from a microblog subscription system to compute novel and effective features for ranking fresh resources which would otherwise have impoverished representations. An embodiment of the present invention advantageously enables a search engine to produce a fresher set of resources and to rank such resources for both relevancy and freshness in a more accurate manner.Type: GrantFiled: March 30, 2010Date of Patent: June 10, 2014Assignee: Yahoo! Inc.Inventors: Anlei Dong, Pranam Kolari, Ruiqiang Zhang, Jing Bai, Yi Chang, Zhaohui Zheng
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Publication number: 20130179252Abstract: Methods and systems are provided that may be utilized to recommend content to a user.Type: ApplicationFiled: January 11, 2012Publication date: July 11, 2013Applicant: Yahoo! Inc.Inventors: Anlei Dong, Jiang Bian, Xiaofeng He, Srihari Reddy, Yi Chang
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Publication number: 20130097158Abstract: Method, apparatus, and programs for customizing a web site are provided. In one example, a method for customizing a web site is provided. One or more representations corresponding to one or more customizable components of a web site are provided. The one or more representations are to be displayed on a display screen to a user. An input entered by the user and directed to a specific customizable component of the web site is received. How to customize the specific customizable component of the web site is determined based on the input. An instruction is generated with respect to the customizable component. The instruction is used to implement customization of the specific customizable component of the web site in accordance with the input from the user.Type: ApplicationFiled: October 9, 2012Publication date: April 18, 2013Inventors: Nageswara Pobbathi, Yi Chang, Anlei Dong, Bo Long, Vignesh Murugesan, Chi-Chung Chan