Title
Treating Each Intent Equally: The Equilibrium of IA-Select.
Abstract
Diversifying search results to satisfy as many users' intentions as possible is NP-hard. Some research employs a pruned exhaustive search, and some uses a greedy approach. However, the objective function of the result diversification problem adopts the cascade assumption which assumes users' information needs will drop once their subtopic search intents are satisfied. As a result, the intent distribution of diversified results deviates from the actual distribution of user intentions, and each subtopic tends to be chosen equally. This phenomenon is unreasonable, especially when the original distribution of user intent is unbalanced. In this paper, we present empirical evidence of the diversification equilibrium by showing that the standard deviations of subtopic distribution approach zero.
Year
DOI
Venue
2018
10.1145/3184558.3186955
WWW '18: The Web Conference 2018 Lyon France April, 2018
DocType
ISBN
Citations 
Conference
978-1-4503-5640-4
0
PageRank 
References 
Authors
0.34
6
6
Name
Order
Citations
PageRank
Yingying Wu1131.88
Yiqun Liu21592136.51
Ke Zhou3301.75
Xiaochuan Wang4152.24
Min Zhang51658134.93
Shaoping Ma61544126.00