17Live Japan Inc.

Jayneel Pawar

Mohammad Amir

Manasvi Ghelani

Abinash Sen

Hardik Taneja

Gayathri Manohar

Sree Lakshmi

Anmol Mohan

Nitin Srivastavea

Uday Kumar Edudula

Gaurav Tyagi

The present disclosure relates to a system, a method and a computer-readable medium for recommendation. The method includes providing a first content according to a first recommendation logic to a user terminal of a viewer; providing a second content according to a second recommendation logic to the user terminal; obtaining interaction data from the user terminal; and adjusting an allocation of contents from the first recommendation logic and the second recommendation logic to be shown on the user terminal according to the interaction data.

System, method and computer-readable medium for recommendation

A server includes: a specifying unit for specifying a live-stream to be preferentially recommended; an obtaining unit for obtaining, for the specified live-stream to be preferentially recommended, a number of users to whom the live-stream is recommended; a generating unit for generating a group of users by selecting a number of users corresponding to the obtained number of users to whom the live-stream is recommended; and a setting unit for setting a list of live-streams to be recommended to a user included in the generated group of users such that the live-stream to be preferentially recommended is presented in priority over other live-streams in the list on a terminal of the user.

Server and method

The present disclosure relates to a system, a method and a computer-readable tangible non-transitory medium for recommending live streaming data. The method includes identifying a set of live streaming programs according to an attribute of the user and a tag of each live streaming program in the set of live streaming programs, generating a first subset of live streaming programs from the set of live streaming programs according to a first criterion, and generating a second subset of live streaming programs from the set of live streaming programs according to a second criterion. The first criterion is different from the second criterion. The present disclosure can recommend contents in a more efficient way and increase user engagements.

System, method and computer-readable medium for recommending streaming data

Growing community of inventors

Tokyo, Japan

Jayneel Pawar