Change Details

See previous spike: {T379119} ####Background One of the top requested personalization features in the last two years for Year in Review has been reading history by category or topic. Readers want to know what they were reading about over the past year. ####Requirements - Fetch and persist article topics for an individual article whenever it is viewed and store them locally - Topics should be cleared if user clears their History - Store all topics with a score higher than X [determine with ML team] Cross platform implementation [] Implement on Android (create subtask) [] Implement on iOS (create subtask) ###Example copy - You read articles in the following topics this year: Architecture, Biography (Women), and Central America. - You read 30 articles in the Performing Arts topic, and 23 in Comics and Anime topic - Your top read topic this year was Central America! 55 of the articles you read belonged to this topic. - You most commonly read articles that belonged both to the Architecture & Central America categories!

See previous spike: {T379119} ####Background One of the top requested personalization features in the last two years for Year in Review has been reading history by category or topic. Readers want to know what they were reading about over the past year. ####Requirements - Fetch and persist article topics for an individual article whenever it is viewed and store them locally - Topics should be cleared if user clears their History Cross platform implementation [] Implement on Android (create subtask) [] Implement on iOS (create subtask) ###Example copy - You read articles in the following topics this year: Architecture, Biography (Women), and Central America. - You read 30 articles in the Performing Arts topic, and 23 in Comics and Anime topic - Your top read topic this year was Central America! 55 of the articles you read belonged to this topic. - You most commonly read articles that belonged both to the Architecture & Central America categories!

See previous spike: {T379119} ####Background One of the top requested personalization features in the last two years for Year in Review has been reading history by category or topic. Readers want to know what they were reading about over the past year. ####Requirements - Fetch and persist article topics for an individual article whenever it is viewed and store them locally - Topics should be cleared if user clears their History - Store all topics with a score higher than X [determine with ML team] Cross platform implementation [] Implement on Android (create subtask) [] Implement on iOS (create subtask) ###Example copy - You read articles in the following topics this year: Architecture, Biography (Women), and Central America. - You read 30 articles in the Performing Arts topic, and 23 in Comics and Anime topic - Your top read topic this year was Central America! 55 of the articles you read belonged to this topic. - You most commonly read articles that belonged both to the Architecture & Central America categories!