Weiqin Ma

20180032608, Feb 1, 2018

Jul 27, 2016

15/221367

- Mountain View CA, US
Weiqin Ma - San Jose CA, US
Wenxuan Gao - Santa Clara CA, US
Weidong Zhang - San Jose CA, US

LinkedIn Corporation - Mountain View CA

G06F 17/30
G06F 17/22

The disclosed embodiments provide a system for processing textual content. During operation, the system obtains a content item containing a set of text units. For each text unit in the set of text units, the system obtains a similarity score representing a similarity of the text unit to other text units in the content item and calculates a ranking score for the text unit from a combination comprising a text unit frequency for the text unit, the similarity score, and a position weight associated with a position of the text unit in the content item. The system then ranks the set of text units by the ranking score and uses the ranking to display a summary containing a subset of the text units in the content item.

20170364563, Dec 21, 2017

Jun 16, 2016

15/184039

- Mountain View CA, US
Bin Wu - Palo Alto CA, US
Weiqin Ma - San Jose CA, US
Weidong Zhang - San Jose CA, US

LinkedIn Corporation - Mountain View CA

G06F 17/30
G06F 7/16

The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of records from a set of inputs, with each record containing an entity key, a partition key, and one or more attribute-value pairs. Next, the system sorts and indexes the records by the entity key for each partitioned input. The system then processes a query of the records by matching entity key values to the sorted and indexed records for each input partition in the query. Next, the system merges the subset of records with the same entity key values into records, with each merged record containing an entity key field and a single field that includes a list of attribute-value pairs from the subset. Finally, the system outputs the merged records in response to the query.

20170286551, Oct 5, 2017

Apr 22, 2016

15/136502

- Mountain View CA, US
Weiqin Ma - San Jose CA, US
Weidong Zhang - San Jose CA, US
Liwen Zhang - San Carlos CA, US
Srihari R. Duddukuru - San Jose CA, US
SangHyun Park - Fremont CA, US
Yongzheng Zhang - San Jose CA, US
Yi Zheng - Cupertino CA, US
Hong Lu - Fremont CA, US
Yurong Shi - San Jose CA, US
Chi-Yi Kuan - Fremont CA, US

LinkedIn Corporation - Mountain View CA

G06F 17/30
G06F 17/24

The disclosed embodiments provide a system for processing data. During operation, the system obtains a first configuration for processing a first set of content items from a first data source and a second configuration for processing a second set of content items from a second data source. For each content item in the first set of content items, the system uses mappings from the first configuration to transform original fields from the content item into required fields in a record representing the content item. Next, the system generates, from the required fields, a document key for the content item. The system also performs deduplication of multiple records with the document key and stores a single record with the document key. Finally, the system uses the second configuration to generate, from the second set of content items, a set of records independently of processing the first set of content items.

20170154057, Jun 1, 2017

Nov 30, 2015

14/954303

- Mountain View CA, US
Weiqin Ma - San Jose CA, US
Qiang Zhu - Sunnyvale CA, US
Yuankui Sun - Mountain View CA, US
Yan Liu - Sunnyvale CA, US
Weidong Zhang - San Jose CA, US
Hong Lu - Fremont CA, US

LinkedIn Corporation - Mountain View CA

G06F 17/30

The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of records from a set of inputs, with each record containing an entity key, a partition key, and one or more attribute-value pairs. For each attribute-value pair in the records, the system maps an attribute name in the attribute-value pair to a unique identifier for the attribute name and replaces the attribute name with the unique identifier. The system then identifies a subset of the records with a matching entity key and a matching partition key and merges the subset of the records into a single record that includes the matching entity key, the matching partition key, and a single field containing a list of attribute-value pairs from the subset of the records. Finally, the system provides the single record and the mapping for use in querying from a centralized source.