Using ODP metadata to personalize search

By Paul-Alexandru Chirita, Wolfgang Nejdl, Raluca Paiu, Christian Kohlschütter. Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

358 citations recorded by the source corpus.

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To personalize or not to personalize: modeling queries with variation in user intent (2008, background): “Recent work on personalized search systems has focused on developing algorithms that personalize results using a representation of an individual‟s interests [3, 5, 20, 23].”
A large-scale evaluation and analysis of personalized search strategies (2007, methodology): “The typical evaluation method used in existing personalized search research is to conduct user studies [23, 26, 6, 34, 28, 29, 19, 5, 31].”
Zero-shot Neural Retrieval via Domain-targeted Synthetic Query Generation (2020, background): “, enterprise or personal search environments (Hawking, 2004; Chirita et al., 2005).”
Persona-ization: Searching on Behalf of Others (2015, background): “A sampling of such work includes extracting short- and long-term topical profiles [7][5][12][10][14], using weighted termvectors based on long-term desktop activities [13], leveraging a user's location [2], and using the user's previous queries and clicks [4][3][11].”
Automatic identification of user interest for personalized search (2006, background): “[17] explores ways to consider the topic category of a page during ranking using user-specified topics of interest.”
Web search personalization with ontological user profiles (2007, methodology): “The ODP taxonomy is used as the basis for various research projects in the area of Web personalization [7, 35].”