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View article: Ranking-Incentivized Document Manipulations for Multiple Queries
Ranking-Incentivized Document Manipulations for Multiple Queries Open
In competitive retrieval settings, document publishers (authors) modify their documents in response to induced rankings so as to potentially improve their future rankings. Previous work has focused on analyzing ranking-incentivized documen…
View article: Competitive Retrieval: Going Beyond the Single Query
Competitive Retrieval: Going Beyond the Single Query Open
Previous work on the competitive retrieval setting focused on a single-query setting: document authors manipulate their documents so as to improve their future ranking for a given query. We study a competitive setting where authors opt to …
View article: Report on the 1st Workshop on Query Performance Prediction and Its Evaluation in New Tasks (QPP++ 2023) at ECIR 2023
Report on the 1st Workshop on Query Performance Prediction and Its Evaluation in New Tasks (QPP++ 2023) at ECIR 2023 Open
Query Performance Prediction (QPP) is currently primarily applied to ad-hoc retrieval tasks. The Information Retrieval (IR) field is reaching new heights thanks to recent advances in large language models and neural networks, as well as em…
View article: Driving the Herd
Driving the Herd Open
In competitive search settings such as the Web, many documents' authors (publishers) opt to have their documents highly ranked for some queries. To this end, they modify the documents - specifically, their content - in response to induced …
View article: Driving the Herd: Search Engines as Content Influencers
Driving the Herd: Search Engines as Content Influencers Open
In competitive search settings such as the Web, many documents' authors (publishers) opt to have their documents highly ranked for some queries. To this end, they modify the documents - specifically, their content - in response to induced …
View article: Extracting and Ranking Travel Tips from User-Generated Reviews
Extracting and Ranking Travel Tips from User-Generated Reviews Open
User-generated reviews are a key driving force behind some of the leading websites, such as Amazon, TripAdvisor, and Yelp. Yet, the proliferation of user reviews in such sites also poses an information overload challenge: many items, espec…