Search Results

Searching has become an essential method for acquiring knowledge. The field of Search as Learning (SAL) has traditionally explored how users engage with search engines for learning tasks, yet these engines frequently falter with complex cognitive ...

TheSearch Engine Results Page (SERP) has evolved significantly over the last two decades, moving away from the simple ten blue links paradigm to considerably more complex presentations that contain results from multiple verticals and granularities of ...

People engage in search episodes as they have a task or a problematic situation. Often this task is not clearly expressed by the information seeker, nor directly supported by the search system. People also list their tasks using tools such as to-do ...

Search tasks play an important role in the study and development of interactive information retrieval (IIR) systems. Prior work has examined how search tasks vary along dimensions such as the task's main activity, end goal, structure, and complexity. ...

We present a context-aware neural ranking model to exploit users' on-task search activities and enhance retrieval performance. In particular, a two-level hierarchical recurrent neural network is introduced to learn search context representation of ...

Modern web search engines exploit users' search history to personalize search results, with a goal of improving their service utility on a per-user basis. But it is this very dimension that leads to the risk of privacy infringement and raises serious ...

Continuous space word embedding have been shown to be highly effective in many information retrieval tasks. Embedding representation models make use of local information available in immediately surrounding words to project nearby context words closer in ...

Detecting and understanding implicit signals of user satisfaction are essential for experimentation aimed at predicting searcher satisfaction. As retrieval systems have advanced, search tasks have steadily emerged as accurate units not only to capture ...

Searching for information could be difficult or problematic in situations where searchers possess inadequate knowledge and/or vague information needs, often leading to unsuccessful outcomes. Existing studies on search outcomes (successes and ...

A significant amount of search queries originate from some real world information need or tasks [13]. In order to improve the search experience of the end users, it is important to have accurate representations of tasks. As a result, significant amount ...

There is broad consensus in the field of IR that search is complex in many use cases and applications, both on the Web and in domain specific collections, and both professionally and in our daily life. Yet our understanding of complex search tasks, in ...

We investigate how children in grades 6 and 8 (ages 11 and 13, respectively) read search engine results pages (SERPs) in the context of searching Google. We use eye-tracking to detect children's reading of SERPs, and the effect of grade level and task ...

Search satisfaction is defined as the fulfillment of a user’s information need. Characterizing and predicting the satisfaction of search engine users is vital for improving ranking models, increasing user retention rates, and growing market share. This ...

While a major share of prior work have considered search sessions as the focal unit of analysis for seeking behavioral insights, search tasks are emerging as a competing perspective in this space. In the current work, we quantify user search task ...

With increasing amounts of digital content, users can accomplish complex tasks online, thus making task extraction from query logs an active area of research. Recently, some approaches have proposed entity based extraction of tasks, where they either ...

Online information sources are become increasingly diverse. The selection of sources for health information has significant implications for people's healthcare decision-making. However, little is known about how individual differences influence users' ...

Given the distinct preferences of different users while using search engines, search personalization has become an important problem in information retrieval. Most approaches to search personalization are based on identifying topics a user may be ...

One of the most challenging aspects of designing interactive information retrieval (IIR) experiments with users is the development of search tasks. We describe an evaluation of 20 search tasks that were designed for use in IIR experiments and developed ...

Current search systems do not provide adequate support for users tackling complex tasks due to which the cognitive burden of keeping track of such tasks is placed on the searcher. As opposed to recent approaches to search task extraction, a more ...

Accurate understanding of a user's interests, preferences and behaviours is possibly one of the most critical research challenges faced while developing personalized systems for behavior targeting and information access. We intend to develop ...