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ACM Transactions on Information Systems (TOIS), Volume 33 Issue 4, May 2015

Understanding and Supporting Cross-Device Web Search for Exploratory Tasks with Mobile Touch Interactions
Shuguang Han, Zhen Yue, Daqing He
Article No.: 16
DOI: 10.1145/2738036

Mobile devices enable people to look for information at the moment when their information needs are triggered. While experiencing complex information needs that require multiple search sessions, users may utilize desktop computers to fulfill...

Selective Search: Efficient and Effective Search of Large Textual Collections
Anagha Kulkarni, Jamie Callan
Article No.: 17
DOI: 10.1145/2738035

The traditional search solution for large collections divides the collection into subsets (shards), and processes the query against all shards in parallel (exhaustive search). The search cost and the computational requirements of...

Belief Dynamics and Biases in Web Search
Ryen W. White, Eric Horvitz
Article No.: 18
DOI: 10.1145/2746229

We investigate how beliefs about the efficacy of medical interventions are influenced by searchers' exposure to information on retrieved Web pages. We present a methodology for measuring participants' beliefs and confidence about the efficacy of...

Fast Forward Index Methods for Pseudo-Relevance Feedback Retrieval
Edward Kai FUNG Dang, Robert Wing Pong Luk, James Allan
Article No.: 19
DOI: 10.1145/2744199

The inverted index is the dominant indexing method in information retrieval systems. It enables fast return of the list of all documents containing a given query term. However, for retrieval schemes involving query expansion, as in...

The Query Change Model: Modeling Session Search as a Markov Decision Process
Hui Yang, Dongyi Guan, Sicong Zhang
Article No.: 20
DOI: 10.1145/2747874

Modern information retrieval (IR) systems exhibit user dynamics through interactivity. These dynamic aspects of IR, including changes found in data, users, and systems, are increasingly being utilized in search engines. Session search is...

A Pólya Urn Document Language Model for Improved Information Retrieval
Ronan Cummins, Jiaul H. Paik, Yuanhua Lv
Article No.: 21
DOI: 10.1145/2746231

The multinomial language model has been one of the most effective models of retrieval for more than a decade. However, the multinomial distribution does not model one important linguistic phenomenon relating to term dependency—that is, the...