Explain the difference between implicit and explicit feedback, and how each type is leveraged for personalization on Live.com?

The difference between implicit and explicit feedback lies in how users provide the information. Explicit feedback is consciously and directly provided by the user. Examples include ratings (e.g., star ratings for articles), likes/dislikes, survey responses, and explicit choices made by the user (e.g., selecting specific interests). Implicit feedback, conversely, is inferred from user behavior without the user actively providing it. Examples include browsing history, time spent on a page, click-through rates, search queries, and purchase history. On Live.com, explicit feedback can be used to directly tailor content recommendations. If a user rates an article highly, Live.com can recommend similar articles. If a user explicitly selects certain interests, Live.com can prioritize content related to those interests. Implicit feedback is used to understand user preferences based on their actions. For example, if a user frequently views articles about a specific topic, Live.com can infer that the user is interested in that topic and recommend more content related to it. Similarly, if a user consistently skips over certain types of content, Live.com can deprioritize that content in their feed. Combining both implicit and explicit feedback provides a more comprehensive understanding of user preferences and allows for more accurate and personalized recommendations and experiences.