Yahoo! Search scientists have built a new search platform with machine learning technology which allows the search engine to better anticipate the queries of the individual user. This technique has enhances Yahoo!’s vertical intent triggering system leading to better assessment of search needs.
As Yahoo! is quoted, “With this new platform, our search algorithm has the ability to adapt to what users are really interested in, by continuously monitoring how they engage with the search results. The system then continuously and automatically improves itself to provide the most engaging web search experience.”
The concept behind the platform is to be more accurate in understanding a person’s intent when searching on the web. Only then can the quality of results will be better and relevant. The team aims at giving answers, not links, to the people for their search query.
As of now, the new technology has been launched for news and movie search queries and both the categories have responded well to the technology. The technology will gather and estimate what the users are looking for and bring it to the top. So, if the user searched for the same thing in the morning, an afternoon search will have the results at top in the morning moved down and newer results on the top. All of this will be done if user behavior determines other content is now more relevant.
Yahoo! plans to roll out this new technology to support shopping, local, travel and mobile searches in the coming months.