Thumbnail
Access Restriction
Subscribed

Author Kofler, Christoph ♦ Larson, Martha ♦ Hanjalic, Alan
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2016
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword User intent ♦ Multimedia indexing ♦ Multimedia information retrieval ♦ Multimedia search ♦ Retrieval algorithms
Abstract Today's multimedia search engines are expected to respond to queries reflecting a wide variety of information needs from users with different goals. The topical dimension (“what” the user is searching for) of these information needs is well studied; however, the $\textit{intent}$ dimension (“why” the user is searching) has received relatively less attention. Specifically, intent is the “immediate reason, purpose, or goal” that motivates a user to query a search engine. We present a thorough survey of multimedia information retrieval research directed at the problem of enabling search engines to respond to user intent. The survey begins by defining intent, including a differentiation from related, often-confused concepts. It then presents the key conceptual models of search intent. The core is an overview of intent-aware approaches that operate at each stage of the multimedia search engine pipeline (i.e., indexing, query processing, ranking). We discuss intent in conventional text-based search wherever it provides insight into multimedia search intent or intent-aware approaches. Finally, we identify and discuss the most important future challenges for intent-aware multimedia search engines. Facing these challenges will allow multimedia information retrieval to recognize and respond to user intent and, as a result, fully satisfy the information needs of users.
Description Author Affiliation: Delft University of Technology, Delft, The Netherlands (Larson, Martha; Hanjalic, Alan); Bloomberg L.P., New York, NY (Kofler, Christoph)
ISSN 03600300
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2016-08-01
Publisher Place New York
e-ISSN 15577341
Journal ACM Computing Surveys (CSUR)
Volume Number 49
Issue Number 2
Page Count 37
Starting Page 1
Ending Page 37


Open content in new tab

   Open content in new tab
Source: ACM Digital Library