User-Involved Preference Elicitation for Product Search and Recommender Systems
نویسندگان
چکیده
منابع مشابه
User-Involved Preference Elicitation for Product Search and Recommender Systems
products or services, planning a trip, or scheduling resources, people increasingly rely on computerized product recommender systems (also called product search tools) to find outcomes that best satisfy their needs and preferences. However, automated decision systems cannot effectively search the space of possible solutions without an accurate model of a user’s preferences. Preference acquisiti...
متن کاملUser-Involved Preference Elicitation
When searching for configurable products, helping users to state their preferences is a crucial task. It involves helping users to understand the space of feasible configurations to decide on realistic preferences. However, many computer tools do not afford users to adequately focus on fundamental decision objectives, reveal hidden preferences, revise conflicting preferences, or explicitly reas...
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In group decision making, users’ behaviour are influenced by their long-term and group-induced preferences. However, how to leverage them is challenging due to their dynamic nature, which is also dependent on the specific group settings. In our work, we employ a group recommendation model that utilizes both types of preferences and we analyze alternative ways of combing them, under diverse grou...
متن کاملTowards Better User Preference Learning for Recommender Systems
In recent years, recommender systems have become widely utilized by businesses across industries. Given a set of users, items, and observed user-item interactions, these systems learn user preferences by collective intelligence, and deliver proper items under various contexts to improve user engagements and merchant profits. Collaborative Filtering is the most popular method for recommender sys...
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We present an interface that can be leveraged to quickly and effortlessly elicit people’s preferences for visual stimuli, such as photographs, visual art and screensavers, along with rich sideinformation about its users. We plan to employ the new interface to collect dense recommender datasets that will complement existing sparse industry-scale datasets. The new interface and the collected data...
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ژورنال
عنوان ژورنال: AI Magazine
سال: 2008
ISSN: 0738-4602,0738-4602
DOI: 10.1609/aimag.v29i4.2200