2012 FindingTrendingLocalTopicsinSea

• (Al Bawab et al., 2012) ⇒ Ziad Al Bawab, George H. Mills, and Jean-Francois Crespo. (2012). “Finding Trending Local Topics in Search Queries for Personalization of a Recommendation System.” In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2012). ISBN:978-1-4503-1462-6 doi:10.1145/2339530.2339594

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222012%22+Finding+Trending+Local+Topics+in+Search+Queries+for+Personalization+of+a+Recommendation+System
• http://dl.acm.org/citation.cfm?id=2339530.2339594&preflayout=flat#citedby

Quotes

Author Keywords

• Clustering; content analysis and indexing; content recommendation; information search and retrieval; location affinity; personalization; trending search queries; types of systems

Abstract

In this paper, we present our approach for geographic personalization of a content recommendation system. More specifically, our work focuses on recommending query topics to users. We do this by mining the search query logs to detect trending local topics. For a set of queries we compute their counts and what we call buzz scores, which is a metric for detecting trending behavior. We also compute the entropy of the geographic distribution of the queries as means of detecting their location affinity. We cluster the queries into trending topics and assign the topics to their corresponding location. Human editors then select a subset of these local topics and enter them into a recommendation system. In turn the recommendation system optimizes a pool of trending local and global topics by exploiting user feedback. We present some editorial evaluation of the technique and results of a live experiment. Inclusion of local topics in selected locations into the global pool of topics resulted in more than 6% relative increase in user engagement with the recommendation system compared to using the global topics exclusively.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2012 FindingTrendingLocalTopicsinSea	Ziad Al Bawab George H. Mills Jean-Francois Crespo			Finding Trending Local Topics in Search Queries for Personalization of a Recommendation System				10.1145/2339530.2339594		2012