The Future of Search: From Generic Search to Curated Buckets

The Future of Search: From Generic Search to Curated Buckets

Curiosity is a fundamental human trait that drives us to seek knowledge and learn new things. We have an inherent desire to know more and avoid wasting the time we have spent searching for information. This may be why people often curate the content they find and create curated buckets for future searches.

The process of curating starts with conducting a generic search on the internet. This initial search allows us to gather a wide range of information on a particular topic. However, it is important to curate the important parts of this information to make future searches more efficient. By curating and organizing the information we find, we can create a curated bucket that serves as a valuable resource for future searches.

The quality and scope of our curated bucket are two crucial factors. To ensure high-quality content, we can utilize social accountability by making our curated bucket public. This way, others can provide feedback and help maintain the quality of the curated content. Additionally, incorporating public highlights can combine the benefits of social accountability and specific important parts, further enhancing the quality of the curated bucket.

When conducting future searches, narrowing down the scope or focusing on verticals can increase effectiveness. By narrowing the scope, we can improve the signal-to-noise ratio, ensuring that the search results are more relevant to our needs. This approach is especially useful when searching through high-quality curated buckets, as they are more likely to contain specific and relevant information.

Interestingly, the word "curate" and "curious" stem from the same Latin word, "cura," meaning care. This connection highlights the importance of caring for the information we search for and organizing it in a way that allows for easy retrieval. In-cura-net, a concept that combines interest graphs and social graphs, can be a powerful tool for searching and discovering information in the future. By leveraging these graphs, we can create a more vertical and specialized search experience that maximizes the utilization of curated buckets.

While search engines like Google have revolutionized our ability to find specific information, they have limitations when it comes to discovering new and unknown content. Google excels at giving us what we are looking for but falls short in telling us what we want to find or introducing us to things we didn't know we wanted. It primarily relies on us to figure out what we want elsewhere and then presents it to us.

This limitation has prompted the rise of alternative approaches to search and discovery. Some companies are addressing the problem by providing curated lists that offer personalized recommendations. Instead of overwhelming users with an extensive list, they present a select number of options based on constraints, curation, and personal preferences. This trade-off between comprehensive coverage and curated recommendations is crucial in solving the search and discovery problem effectively.

The machine learning capabilities of platforms like Yelp, Amazon, and Google Now are progressing, but they are not yet at a level where they can fully understand our preferences and predict our interests accurately. Physical retail stores, such as bookshops, continue to thrive because they not only serve as physical logistics networks but also provide recommendations and filters. Online retailers are attempting to replicate this curated experience by scaling curation instead of relying solely on search boxes.

Another aspect to consider is the importance of being discoverable in the right places. With millions of listings on search engines and app stores, it can be challenging to stand out. However, being part of a carefully curated selection within those vast platforms can increase visibility and attract more users. The goal is not to be lost in the sea of options but to be one of the few selected choices that users can trust and rely on.

In conclusion, the future of search lies in the transition from generic search to curated buckets. By curating and organizing information, we can create valuable resources for future searches. Incorporating social accountability and specific important parts can enhance the quality of curated buckets. Narrowing down the scope and focusing on verticals can improve search effectiveness. Leveraging interest and social graphs can lead to a more specialized and personalized search experience. Additionally, incorporating curated recommendations and filters can enhance the discovery process. Ultimately, the future of search is about providing users with curated, high-quality content that meets their specific needs and interests.