Abstract: Systems, methods, and computer-executable instructions for verifying a chat bot. Registration information for the chat bot is received that includes keywords. Queries are submitted to the chat bot and responses to the queries are received. The responses are classified using a classifier. Verification that the responses are classified as approved responses are done. The registration information is stored and the registration of the chat bot is completed based upon the verified responses. A search query that includes a search keyword is received. The search keyword is matched to the keywords associated with the chat bot. Search results that include a link to the chat bot that are based upon the search query are provided.

Abstract: A search engine query can be received, along with contextual data encoding information about a context of the query. The query can be classified into a selected user interface profile of multiple available user interface profiles, with the classifying including applying a classification model to the contextual data. A visual structure generator can be selected using results of the classifying, and a search results page can be generated for the query. The generating of the search results page can include using the selected visual structure generator to impose a selected visual structure on the search results page, with the selected visual structure corresponding to the selected visual structure generator. The generated search results page can be returned in response to the receiving of the query.

Abstract: Methods and systems are disclosed for post-ranking a ranked search result based on a personal affinity of a user. Issues on ranking a search result of information based on user-level optimization without breaking ranking of the search results based on global optimization functions are addressed by first ranking a search result based on the global optimization functions, followed by post-ranking the ranked search result based on a personal affinity of the user. The personal affinity may be determined based on a search history by the user as captured in a knowledge base. The post-ranking is performed on a limited scope by dividing the ranked search result into multiple portions and re-ranking entries within respective portions based on the personal affinity, for example, by boosting entries that matches the personal affinity to the top of the entries within the portion.

Abstract: A search engine query can be received, along with contextual data encoding information about a context of the query. The query can be classified into a selected user interface profile of multiple available user interface profiles, with the classifying including applying a classification model to the contextual data. A visual structure generator can be selected using results of the classifying, and a search results page can be generated for the query. The generating of the search results page can include using the selected visual structure generator to impose a selected visual structure on the search results page, with the selected visual structure corresponding to the selected visual structure generator. The generated search results page can be returned in response to the receiving of the query.

Abstract: Systems, methods, and computer-executable instructions for verifying a chat bot. Registration information for a chat bot is received and stored. A search query is received from a browser that includes a search keyword. A determination if a chat bot should be included in search engine results page based upon the search query is made. The search query is matched to keywords associated with the chat bot. Using the registration information, if the chat bot is launchable from the search engine results page is determined. The chat bot is integrated in the search engine results page. The search engine results page is provided to the browser.

Abstract: Systems, methods, and computer-executable instructions for verifying a chat bot. Registration information for the chat bot is received that includes keywords. Queries are submitted to the chat bot and responses to the queries are received. The responses are classified using a classifier. Verification that the responses are classified as approved responses are done. The registration information is stored and the registration of the chat bot is completed based upon the verified responses. A search query that includes a search keyword is received. The search keyword is matched to the keywords associated with the chat bot. Search results that include a link to the chat bot that are based upon the search query are provided.