Christoph Kofler
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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 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.
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Index Terms
- User Intent in Multimedia Search: A Survey of the State of the Art and Future Challenges
Index terms have been assigned to the content through auto-classification.
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User Intent, Behaviour, and Perceived Satisfaction in Product Search
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Actively predicting diverse search intent from user browsing behaviors
WWW '10: Proceedings of the 19th international conference on World wide webThis paper is concerned with actively predicting search intent from user browsing behavior data. In recent years, great attention has been paid to predicting user search intent. However, the prediction was mostly passive because it was performed only ...
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