This learning guide aims to highlight several common mistake trends among analysts in Singapore.
Please review the following guideline sections as it will help you rate more accurately.
Autocomplete Guidelines
• 2.2.2 Query and Category Suggestions
• 2.3.1 Explicit Location
• 3.3.1 No Status Shown
• 4.1.1 General Match
• 4.2 User Intent
• 4.3 Distance and Prominence including subsections
• 4.4 Many Possible Suggestions
• 4.13 Query and Category Suggestions
• 8.1.2 Partial Address Query and Mixed Intent
• 8.3 Chain Business Query
• 8.4 Category Query
Refer to the latest guidelines if there’s any conflict between this guide and newer guidelines
1.Distance & Prominence
At first glance, the suggestion (NTU) is far from the user/viewport, and there are numerous closer possible results including (NTUC Fairprice). However, it is important to consider prominence when rating, in addition to distance.
Nanyang Technological University (NTU) is a highly prominent POI, hence it qualifies to be promoted for prominence. It is also a perfect match with the query string, further justifying the user intent.
Therefore, the final Relevance rating for (NTU) is Excellent/Good.
Please refer to GL Sections 2.1 User Query String & 4.3.3 Prominence.
Note: Other closer possible results do not receive extra demotions just because (NTU) is promoted. For instance, Suggestion #4 still receives an Excellent/Good rating because it is one of the closest possible results to the user, but not the closest.
2. Category Query
Query
Query is a category query (Mobile phone). In-depth research is
expected to understand the possible interpretations for this category query. Since (mobile phone) is a broad category, possible results could include mobile phone stores, mobile phone accessories, and mobile
phone repair. (non-exhaustive)
The suggestion (RepairXpress Mobile Phone Repair) is a mobile phone repair store; hence it matches category intent. While the prominence is
prioritized over distance when rating category queries, in this task, the possible results closer to the user, have a similar level of prominence.
Based on the principle of Significant Increase in Distance, the suggestion is within the 2nd closest range of suggestions to the user. (https://is.gd/jgTtDc) (see the next slide)
Therefore, the appropriate Relevance rating is Good.
See GL Section 8.4 Category Query.
2. Category Query (continued)
Context from other mapping resources (https://is.gd/jgTtDc)
3. Service Level / Many Possible Suggestions
Query
The query has an unexpected space and is for (POSB). The query does not specify the service level, i.e. branch or ATM, therefore suggestions for POSB branches and ATMs are equally relevant.
Research shows that there are over 10 closer possible results to the viewport. (https://is.gd/1HD5WO) see the next slide
The suggestion will be demoted for distance, and the appropriate Relevance rating is Bad/Acceptable.
See GL Section 4.3.2 Distance, 4.4 Many Possible Suggestions and
8.3 Chain Business Query.
Context from POSB’s official website (https://is.gd/1HD5WO)


The query is for (jalan besar) but misspelled. The user is outside the fresh viewport.
All 5 suggestions in this task are possibilities, however we need to consider which results are most likely to be the user intent, as well as their prominence. In this case, Jalan Besar (street) and Jalan Besar (MRT) are the primary user intent. This is not only because they are perfect matches to the query, but because they are also prominent.
The suggestion (Jalan Besar Community Club) has slightly lower prominence compared to the street and MRT station thus should be demoted accordingly. The appropriate Relevance rating is Good.
See GL Section 4.1.1 General Match and 4.3.3 Prominence.
5. Partial Address Query
The query is a partial address (326 serangoon). Research all possible
address that matches in the real world.
Research using Onemap confirms that there are only 2 possible address matches, which coincide with the suggestions in the task, i.e. (326 Serangoon Rd) and (326 Serangoon Ave 3). (https://is.gd/KdilGh) see the next slide
Once the address matches have been determined, they can then be rated according to the distance. Suggestion (326 Serangoon Ave 3) is the closest address match to the user. Therefore, the Relevance rating is Excellent.
See GL Section 8.1.2 Partial Address Query and Mixed Intent.
6. Closed Business
Query | Mothe |
---|---|
User location | 1.405563354492,103.895645141 |
Viewport Age | Fresh |
Viewport Centre | 1.40563725497,103.896324687 |
The query is (Mothe) and is an incomplete query. Research needs to be performed to determine possible result matches.
Suggestion (Motherswork) is one of the closest possible matches to the user/viewport. However, research using official resources confirms that this branch no longer exists. (https://is.gd/EBlLZK)
Closed POIs are rated as if they are still open. Hence, the correct Relevance rating is Excellent.
See GL Section 2.1 User Query String, 3.3.1 No Status Shown and 4.3.2 Distance.
Query
User location
Viewport Age
Viewport Centre


The query is for a specific street (Yishun ave 5) and is therefore treated as explicit location intent. VP and the user locations will therefore be ignored.
The suggestion (Healthway Medical – Yishun Ave 5) only matches the query string (Yishun ave 5) on the location modifier part of the POI name, which is nonessential. This should not be considered a match.
Considering the above explanation, Relevance is Bad.
See GL Section 2.3.1 Explicit Location and 4.2 User Intent (holywoo) example.
Query
User location
Viewport Age
Viewport Centre


The query consists of location modifier (chin swee road) + category
(massage). Therefore, the user is looking for massage-related POIs at Chin Swee Road.
Note that the suggestion (Massages) + location modifier (Chin Swee Rd, Singapore) is a category suggestion. Category suggestions do not appear on the map but are rated accordingly the specific criteria per guidelines.
Since the suggested category (Massages) fully satisfies the query intent and its location modifier matches the query’s location modifier, Relevance is Excellent.
See GL Section 2.2.2 Query and Category Suggestions, 4.13 Query and Category Suggestions and 8.4 Category Query.
Recap