Developing a Meta-Suggestion Engine for Search Queries

Typically, search engines provide query suggestions to assist users in the process. Query are very important for improving user’s experience. However, most based on logs, and they can be influenced by infrequently searched queries. Depending query, ineffective global but effective a domestic engine. Conversely, it weak engines. In addition, log-based require many which makes them difficult construct outside of large Some do not suggestions, making searches users. These suggestion vulnerabilities degrade this study, we develop meta-suggestion, new scheme. Similar meta-searches, meta-suggestions retrieve candidate queries from other Meta-suggestions generate reranking aggregated We meta-suggestion engine (MSE) browser extension that generates meta-suggestions. It any webpage does log. Comparing our major such as Google, showed 17% performance improvement normalized discounted cumulative gain (NDCG) 31% precision. If more detailed factors, user preferences discovered through continued research, is expected will greatly improve. An enhanced experience possible if preference, examined future work.