Similar Document Search and Recommendation

Govindaraju, Vidhya ; Ramanathan, Krishnan

HP Development Company

关键词: Key phrase extraction;    recommendation system;    similarity search;   

RP-ID  :  HPL-2011-150

学科分类：计算机科学（综合）

美国|英语

来源: HP Labs

【 摘 要 】

Query formulation is one of the most difficult aspects of search, especially for a novice user. We propose a new search interaction where the user searches with a reference document and the system learns from the user inputs over a period of time to "push" relevant and new content without additional user interaction. Our method is based on identifying key phrases from the input document. The key phrases are used to query a search engine and the results are evaluated for similarity to the original document. By caching documents received from a user over a period of time, a user profile is built. The profile is then used to provide recommendations to the user.