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| Content Provider | ACM Digital Library |
|---|---|
| Author | Whiting, Stewart Alonso, Omar |
| Abstract | While location-based social networks (LBSNs) have become widely used for sharing and consuming location information, a large number of users turn to general web search engines for recreational activity ideas. In these cases, users typically express a query combining desired activity type, constraints and suitability, around an explicit location and time -- for example, "parks for kids in NYC in winter", or "cheap bars for bachelor party in san francisco". In this work we characterize such queries as recreational queries, and propose a relevance framework for ranking points of interest (POIs) to present in the web search recreational vertical using signals from query logs and LBSNs. The first part of this framework is a taxonomy of recreational intents, which we derive from those previously seen in query logs and other behavioral data. Based on the most popular recreational intents, we proceed to outline a new relevance model combining social, geographical and temporal information. We implement a prototype and conduct a preliminary user-study evaluation. Results show the proposed relevance model and bundles greatly improve user satisfaction for recreational queries. |
| Starting Page | 1001 |
| Ending Page | 1004 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450340694 |
| DOI | 10.1145/2911451.2914743 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-07-07 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Temporal Recreation Activity search |
| Content Type | Text |
| Resource Type | Article |
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