Automatic generation of topic pages using query-based aspect models

We investigate the automatic generation of topic pages as an alternative to the current Web search paradigm. We describe a general framework, which combines query log analysis to build aspect models, sentence selection methods for identifying relevant and non-redundant Web sentences, and a technique for sentence ordering. We evaluate our approach on biographical topics both automatically and manually, by using Wikipedia as reference. Categories and Subject Descriptors: H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval General Terms: Algorithms, Experimentation, Measurement.

• Type: Conference
• Year: 2009
• Where: CIKM
• Authors: Niranjan Balasubramanian, Silviu Cucerzan
• Keywords: CIKM 2009, Database, Non-redundant Web Sentences, Sentence Selection Methods, Web Search Paradigm